Coordinating extended reality 3d space

ABSTRACT

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring extended reality spaces. One of the methods includes determining, for a first extended reality environment generated by a first device, first data defining a first three-dimensional space at a property for the first environment; determining, for a second extended reality environment generated by a second device, second data defining a second three-dimensional space at the property for the second environment; determining whether the first space at least partially overlaps with the second space; in response to determining that the first space at least partially overlaps with the second space, determining that the first space has a higher priority than the second space; in response to determining that the first space has the higher priority than the second space, providing, to the second device, a command to adjust an experience for the second extended reality environment.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims the benefit of U.S. Provisional Application No.63/290,787, filed Dec. 17, 2021, the contents of which are incorporatedby reference herein.

TECHNICAL FIELD

This specification relates generally to objects and augmented andvirtual reality computer systems.

BACKGROUND

Augmented reality (AR) is an interactive experience of a real-worldenvironment where the objects that reside in the real world areaugmented by computer-generated perceptual information, sometimes acrossmultiple sensory modalities, such as visual, auditory, haptic,somatosensory, and olfactory.

Virtual reality (VR) is a simulated experience that can be similar to orcompletely different from the real world. Applications of virtualreality include, but are not limited to, entertainment (e.g. videogames), education (e.g. medical or military training), and business(e.g. virtual meetings).

Virtual and augmented reality can be referred to generally as extendedreality (XR).

SUMMARY

Disclosed are systems and methods for extended reality (XR)three-dimensional (3D) space management. The disclosed techniques can beused for XR 3D space monitoring, dynamic 3D space management, andcoordination of multiple 3D spaces.

XR provides an enhanced or alternate version of reality where a view ofphysical real-world environments as seen through a computing device isaugmented with superimposed, computer-generated images, thus enhancingthe user's view, or replaced with computer-generated images. Thecomputing device can provide a computer-generated simulation of athree-dimensional image or environment that can be interacted with in aseemingly real or physical way by a person using special electronicequipment, such as a helmet with a screen inside or gloves fitted withsensors. In the case of augmented reality, graphics, sounds, and touchfeedback can be added into the view on the computing device to create anenhanced user experience.

XR devices often require a 3D space, e.g., an area free of obstructionswhere a user can move about within the virtual or augmented worldwithout bumping into objects in the real world while the user is wearinga headset. In some cases, the 3D space is part of a dedicated space suchas an XR arena. In some cases, the 3D space is part of a property suchas a house or apartment. The property may be shared with other residentsand occupants. The property may also be shared with other users of XRdevices. In some cases, an obstruction may be introduced to a previouslyunobstructed 3D space while the user is wearing the headset. Forexample, a person or animal may enter the 3D space while the user iswearing the headset in the 3D space. The person or animal might alsoleave an object in the 3D space, creating a new obstruction.

In an example scenario, the user may don an XR headset in anunobstructed 3D space in a living room of a house. Another resident mayreturn home from work, enter the 3D space, and put their briefcase downon the floor in the 3D space. The resident crossing through the 3Dspace, and the briefcase placed on the floor in the 3D space, areobstructions in the 3D space.

The disclosed systems and techniques can be used to prevent the userfrom colliding with, tripping over, or otherwise unintentionallyinteracting with a person, animal, or object that is unexpectedly in the3D space. The disclosed systems and techniques can also be used toprevent a person from entering the 3D space and/or leaving an object inthe 3D space.

The system can generate and maintain a 3D model of the 3D space. Themodel can include representations of irregular geometry, multilevelfloors, overhangs, and other abnormal features of a space. The 3D spacecan span multiple rooms in a property, including passing throughhallways and doorways.

The system can use sensors such as door position sensors, cameras, PIRsensors, and other types of sensors to predict and detect obstructionsand interferences within a 3D space. The system can also dynamicallyadjust the 3D space based on detected objects and events. When the 3Dspace is adjusted, the XR application that is in progress canreconfigure its virtual spaces to fit the constraints of the real-worldadjusted 3D space.

In some examples, multiple XR device users can participate in differentXR experiences in the same area. The disclosed systems and techniquescan be used to prevent the multiple users from colliding with eachother, while minimizing disruption to the XR experience of each user.The system can track all users in the play space, and negotiate 3D spacebetween the various independent XR applications. This enables each XRapplication to increase use of the full 3D space, while maintainingusers at a safe distance from each other.

In general, one innovative aspect of the subject matter described inthis specification can be embodied in methods that include the actionsof maintaining, for an extended reality environment generated by a firstdevice operated by a person, data defining a three-dimensional space ata property; accessing sensor data generated by one or more sensorsphysically located at the property; predicting, using the sensor data,that an object will likely interfere with the three-dimensional space atthe property; and in response to predicting that the object will likelyinterfere with the three-dimensional space at the property, providing anotification to a second device.

In general, one innovative aspect of the subject matter described inthis specification can be embodied in methods that include the actionsof selecting, from a plurality of available portions of a physical spaceat a property, a first available portion of the physical space forrepresenting an extended reality environment; causing, using the firstavailable portion of the physical space, presentation of a first portionof the extended reality environment at the first available portion ofthe physical space; predicting, using sensor data generated from one ormore sensors at the property, that the first available portion of thephysical space will likely be interfered with; in response to predictingthat the first available portion of the physical space will likely beinterfered with, selecting, from the plurality of available portions ofthe physical space, a second available portion for representing theextended reality environment; and causing, using the second availableportion of the physical space, presentation of a second portion of theextended reality environment at the second available portion of thephysical space.

In general, one innovative aspect of the subject matter described inthis specification can be embodied in methods that include the actionsof determining, for a first extended reality environment generated by afirst device, first data defining a first three-dimensional space at aproperty for the first extended reality environment; determining, for asecond extended reality environment generated by a second device, seconddata defining a second three-dimensional space at the property for thesecond extended reality environment; determining whether the firstthree-dimensional space at least partially overlaps with the secondthree-dimensional space; in response to determining that the firstthree-dimensional space at least partially overlaps with the secondthree-dimensional space, determining that the first three-dimensionalspace has a higher priority than the second three-dimensional space; inresponse to determining that the first three-dimensional space has thehigher priority than the second three-dimensional space, providing, tothe second device, a command to cause the second device to adjust anexperience for the second extended reality environment.

Other implementations of this aspect include corresponding computersystems, apparatus, computer program products, and computer programsrecorded on one or more computer storage devices, each configured toperform the actions of the methods. A system of one or more computerscan be configured to perform particular operations or actions by virtueof having software, firmware, hardware, or a combination of theminstalled on the system that in operation causes or cause the system toperform the actions. One or more computer programs can be configured toperform particular operations or actions by virtue of includinginstructions that, when executed by data processing apparatus, cause theapparatus to perform the actions.

The foregoing and other implementations can each optionally include oneor more of the following features, alone or in combination.

In some implementations, the method includes determining that the personis likely experiencing the extended reality environment with the firstdevice, wherein: providing the notification to the second device isresponsive to determining that the person is likely experiencing theextended reality environment with the first device.

In some implementations, the method includes predicting, using thesensor data, that another object will likely interfere with thethree-dimensional space at the property; determining that the personlikely is not experiencing the extended reality environment with thefirst device; and in response to predicting that the other object willlikely interfere with the three-dimensional space at the property andthat the person likely is not experiencing the extended realityenvironment with the first device, determining to skip providing anothernotification.

In some implementations, the method includes determining that the personlikely is not experiencing the extended reality environment includesdetermining that the extended reality environment is paused or hasended.

In some implementations, the method includes determining, using thesensor data, the second device to which to provide the notification.

In some implementations, the method includes an object which includesanother person; and determining the second device includes: determining,using the sensor data, a likely identifier for the other person; anddetermining, using the likely identifier for the other person, thesecond device for the other person.

In some implementations, the method includes providing the notificationwhich includes providing the notification to an autonomous device tocause the autonomous device to reduce a likelihood of the objectinterfering with the three-dimensional space at the property.

In some implementations, the method includes an object includes theautonomous device.

In some implementations, the method includes providing the notificationwhich includes providing the notification to the first device.

In some implementations, the method includes providing the notificationwhich includes providing, to the first device, a command to cause thefirst device to generate a representation of the object in the extendedreality environment.

In some implementations, the method includes providing the notificationwhich includes providing, to the first device, a command to cause thefirst device to pause the extended reality environment.

In some implementations, the method includes providing the notificationwhich includes providing a command to a speaker to cause the speaker topresent an audible notification about the potential interference of theobject with the three-dimensional space for the extended realityenvironment.

In some implementations, the method includes providing the notificationwhich includes providing a command to the second device to cause thesecond device to present, at the property, an identifier for at least aportion of a boundary of the three-dimensional space for the extendedreality environment.

In some implementations, the method includes a physical space whichincludes a three-dimensional space available for use for the extendedreality environment.

In some implementations, the method includes determining, for at leastone physical portion of the physical space, whether the respectiveportion is likely occupied; and using, as the plurality of availableportions of physical space, one or more of the physical portions of thephysical space that is not likely occupied.

In some implementations, the method includes determining, for at leastone physical portion of the physical space, whether the respectiveportion is likely occupied; and using, as the plurality of availableportions of physical space, one or more of the physical portions of thephysical space that is not likely occupied.

In some implementations, the method includes determining, for at leastone physical portion of the physical space, a status of a devicephysically located within a threshold distance of the respectivephysical portion; and selecting, using the status of the at least onedevice physically located within the threshold distance of therespective physical portion, one or more of the physical portions of thephysical space as the plurality of available portions of physical space.

In some implementations, the method includes for each of one or morephysical portions of the physical space: determining a likelihood thatthe respective portion will be interfered with during an expectedduration for an extended reality environment session; and determiningwhether the likelihood satisfies a likelihood threshold; and using, asthe plurality of available portions of physical space, the physicalportions of the physical space that have a corresponding likelihood thatsatisfies the likelihood threshold.

In some implementations, the method includes predicting that the firstavailable portion of the physical space will likely be interfered withwhich includes predicted, using the sensor data generated from one ormore sensors at the property, that an object will likely enter the firstavailable portion of the physical space.

In some implementations, the method includes predicting that the firstavailable portion of the physical space will likely be interfered withwhich includes predicted, using a current time at the property, thefirst available portion of the physical space will likely be interferedwith.

In some implementations, the method includes the second availableportion is a proper subset of the area included in the first availableportion.

In some implementations, the method includes causing presentation of theportion of the extended reality environment at the available portion ofthe physical space which includes sending, to a device that generatesthe extended reality environment, a command to cause the device topresent the portion of the extended reality environment at the availableportion of the physical space.

In some implementations, the method includes providing the command whichincludes providing the command to cause the second device to pause thesecond extended reality environment.

In some implementations, the method includes providing the command whichincludes providing the command to cause the second device to delaypresentation of at least some content for the second extended realityenvironment.

In some implementations, the method includes providing the command whichincludes: in response to determining that the first three-dimensionalspace has the higher priority than the second three-dimensional space,determining a third three-dimensional space at the property for thesecond extended reality environment that does not overlap with the firstthree-dimensional space, providing the command to cause the seconddevice to present the second extended reality environment using thethird three-dimensional space instead of the second three-dimensionalspace.

In some implementations, the method includes providing the command whichincludes providing, to the second device, the command that causes thesecond device to transition, over a time period, from a presentation ofthe second extended reality environment using the secondthree-dimensional space to the presentation of the second extendedreality environment using the third three-dimensional space.

In some implementations, the method includes determining the first datadefining the first three-dimensional space at the property for the firstextended reality environment which includes detecting a change in athree-dimensional space for the first extended reality environment froma fourth three-dimensional space at the property to the firstthree-dimensional space; and determining whether the firstthree-dimensional space at least partially overlaps with the secondthree-dimensional space is responsive to detecting the change in athree-dimensional space for the first extended reality environment froma fourth three-dimensional space at the property to the firstthree-dimensional space.

In some implementations, the method includes determining that the firstthree-dimensional space has the higher priority than the secondthree-dimensional space uses at least one of a priority for a user ofone of the devices, a priority for one of the devices, or a priority foran application generating one of the extended reality environments.

In some implementations, the method includes determining that the firstthree-dimensional space has the higher priority than the secondthree-dimensional space uses a duration of an activity for the firstextended reality environment.

In some implementations, the method includes determining that the firstthree-dimensional space has the higher priority than the secondthree-dimensional space which includes: determining one or more firstfeatures for the first extended reality environment; determining one ormore second features for the second extended reality environment;determining that a first physical object in the first three-dimensionalspace satisfies a similarity threshold for at least one of the one ormore first features; determining that a second physical object in thesecond three-dimensional space does not satisfy the similarity thresholdfor any of the one or more second features; and in response todetermining that the first physical object in the firstthree-dimensional space satisfies the similarity threshold for at leastone of the one or more first features and determining that the secondphysical object in the second three-dimensional space does not satisfythe similarity threshold for any of the one or more second features,determining that the first three-dimensional space has the higherpriority than the second three-dimensional space.

The subject matter described in this specification can be implemented invarious implementations and may result in one or more of the followingadvantages. The subject matter can provide a smoother, safer XRexperience for users, improve safety for the families and roommates ofXR users, allow for multiple XR users to share limited physical space,assist with communication between XR users and non-XR users. Otheradvantages include enabling XR to be used in environments where one maynot be able to setup a dedicated space.

The details of one or more implementations of the subject matterdescribed in this specification are set forth in the accompanyingdrawings and the description below. Other features, aspects, andadvantages of the subject matter will become apparent from thedescription and the drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram illustrating an example of a system for monitoringXR 3D spaces.

FIG. 2 is a flow diagram of a process for monitoring XR 3D spaces.

FIG. 3 is a diagram illustrating an example of a system for dynamic XR3D space management.

FIG. 4 is a flow diagram of a process for dynamic XR 3D spacemanagement.

FIG. 5 is a diagram illustrating an example of a system for coordinationof multiple XR 3D spaces.

FIG. 6 is a flow diagram of a process for coordination of multiple XR 3Dspaces.

FIG. 7 is a diagram illustrating an example of a property monitoringsystem.

Like reference numbers and designations in the various drawings indicatelike elements.

DETAILED DESCRIPTION

FIG. 1 is a diagram illustrating an example of an environment 100 formonitoring XR 3D spaces. The environment 100 includes a 3D space 101.The environment 100 also includes a system 120, and an XR device 140.The XR device 140 can include a headset worn by the user 110. The system120 runs an XR application 106. XR environments generated by the XRapplication 106 are provided to the XR device 140 for presentation to auser 110.

In the example of FIG. 1 , the XR device 140 includes the XR device 140and the system 120. The XR device 140 includes a headset worn by theuser 110. The XR device 140 can also include one or more controllersand/or trackers that are worn by or carried by the user 110.

In some examples, an XR device 140 can include a wearable computingsystem that performs the functions that are described herein as beingperformed by the system 120. For example, the computing system can beintegrated with the headset, e.g., as part of the same physical deviceas the headset. In some examples, the XR device 140 includes a headsetand a separate wearable computing system that performs the functions ofthe system 120. For example, the XR device 140 can include a wearablecomputing system that is integrated with a backpack, vest, harness,and/or other garment or accessory.

In some examples, an XR device 140 can include a computing system thatis wired or wirelessly communicable with the headset and performs thefunctions that are described herein as being performed by the system120. For example, the XR device 140 can include a mobile computingdevice such as a smart phone, table, laptop, or other mobile computingdevice. The mobile computing device can run an XR application 106 andtransmit images of the XR environments for display on the headset.

In some examples, an XR device 140 can include more than one display.For example, the XR device 140 can include more than one headset, andthe system 120 can provide XR environments for display on each of theone or more headsets. In some examples, the XR device 140 can includeone or more display screens such as a television screen or computerscreen, and the system 120 can provide XR environments for display onthe one or more display screens.

The system 120 may be located within or outside of the 3D space 101. Thesystem 120 is in communication with the XR device 140. The system 120may be, for instance, one or more computer systems, server systems, orother computing devices. In some examples, the system 120 may be a cloudcomputing platform or a game console. The system 120 can store a modelof the 3D space 101. For example, the system 120 can store dataindicating boundaries of the 3D space. Boundaries of the 3D space can bephysical boundaries, e.g., walls, or can be virtual boundaries input bythe user 110.

The 3D space 101 can be any space in which a user 110 uses an XR device140. For example, the 3D space 101 can be a room of a building or anoutdoor area. The 3D space 101 can be a mostly empty space where theuser 110 can freely move about without tripping over hazards or bumpinginto objects in the real world.

Components of the environment 100 can communicate through a network. Thenetwork may be any communication infrastructure that supports theelectronic exchange of data between the device sand the sensors. Thenetwork may include a local area network (LAN), a wide area network(WAN), the Internet, or other network topology. The network may be anyone or combination of wireless or wired networks and may include any oneor more of Ethernet, cellular telephony, Bluetooth, and Wi-Fitechnologies. Communications through the network may be implementedthrough any one or combination of various protocols, including the802.11 family of protocols, Bluetooth, Bluetooth LE, Z-Wave, ZigBee,GSM, 3G, 4G, 5G, LTE, or other custom or standard communicationprotocol. In some examples, the network may include optical data links.To support communications through the network, the components, e.g., theXR device 140, the system 120, and the motorized structure, may includecommunications modules, such as a modem, transceiver, modulator, orother hardware or software configured to enable the device tocommunicate electronic data through the network.

In some examples, the system 120 can track objects in and around the 3Dspace 101 using outside-in tracking based on sensors that are externalto the components. For example, a camera 111 may be installed in or nearthe 3D space 101. The system 120 can obtain camera image data from thecamera 111 and use the camera image data to track locations and movementof the objects.

In some examples, the XR device 140 can include one or more embeddedcameras. The system 120 can obtain image data from the embedded camerasand use the image data to track locations and movement of the objects.In some examples, cameras on the XR device 140 can be used forsimultaneous localization and mapping, where a three-dimensional (3D)map of the environment is generated in real time. The system 120 can usemachine learning algorithms to determine where the XR device 140 ispositioned within that 3D map, using feature detection to reconstructand analyze surroundings.

The system 120 can run an augmented reality or virtual realityapplication such as a game. The system 120 can generate an XRenvironment for presentation to the XR device 140 as an XR imagedisplayed through the XR device 140. An XR image can be an AR image thataugments a view of a real-world environment or a VR image that replacessome or all of a view of a real-world environment. The user 110 may viewan XR device 140, for example, by wearing an augmented reality headset.Upon activation of the XR device 140, the XR device 140 receives datafrom embedded cameras and sensors. The XR device 140 may also collectdata from other system components. The XR image can be displayed on awide variety of displays, or directly into the user's eyes, usuallythrough glasses or a headset. Other XR devices include smartphones andtablets. The user 110 can hold these types of devices in their hands andview the display of the smartphone or tablet.

In some examples, the XR device 140 processes image data collected byembedded cameras, determines the locations of the objects within the 3Dspace 101, and augments the images of the objects. Multiple cameras maybe built in the XR device 140, to perform depth sensing, picturerecording, video recording, augmentation processing, etc. The XR device140 may include a screen to augment image data captured by the camera ofthe device such that the image becomes an interactive environment. TheXR device 140 may require significant edge computer processing power andincludes many components like a CPU, a GPU, memory, GPS chip, etc.

The system can include one or more cameras, e.g., camera 111, positionedsuch that the camera 111 can capture images of the 3D space 101 or atleast part of the 3D space 101. The camera 111 can be calibrated withinthe room, e.g., by observing people passing through the room over time.

In some examples, the user 110 can map the 3D space 101 using the XRdevice 140 or another component of the VR system. For example, the user110 can wear the XR device 140 while walking around the boundaries ofthe 3D space 101. The 3D space 101 can be defined relative to fixedtracking cameras, beacons, or features in the property 102.

Coordinate systems of the XR device 140 and of the sensors can belinked. The coordinate system can be linked, for example, by accessingfixed landmarks that are used by the XR system and identifying thelandmarks in the fields of view of installed cameras. In some examples,the camera 111 can track the user 110 and/or the XR device 140 as theuser 110 travels through a trajectory in the field of view of the camera111, and the trajectory can be correlated to the position of the user110 within the 3D space 101 according to the XR system.

In some examples, the system can map the 3D space 101 over time bytracking the user 110 in camera images generated by the camera 111, andstoring data indicating the extent of the user's movements. In someexamples, the system can infer an assumed 3D space 101 based on thegeometry of the room where the 3D space 101 is located. For example, thesystem can fit a rectangular shaped 3D space into an unobstructed areaof the room. In some examples, the system can prompt the user 110, e.g.,through a communication to the XR device 140, to directly define the 3Dspace within the camera field of view, e.g., by walking around anoutline of the 3D space 101 in view of the camera 111.

FIG. 1 illustrates a flow of events, shown as stages (A) to (D), witheach representing a step in an example process. Stages (A) to (D) mayoccur in the illustrated sequence, or in a sequence that is differentfrom the illustrated sequence. For example, some of the stages may occurconcurrently.

In stage (A), the system 120 obtains 3D space data. For example, thesystem 120 can obtain 3D space data from the XR device 140. The 3D spacedata can include data defining boundaries of the 3D space 101.

The 3D space 101 can be mapped to the field of view of the camera 111.In some examples, the XR device 140 communicates coordinates of the 3Dspace 101 to the camera field of view, e.g., through an API. In someexamples, the user 110 can carry a controller while walking around aperimeter of the 3D space 101.

In some examples, the system 120 can assume a 3D space 101 based onobserving the user 110. For example, the system 120 can analyze cameraimages of the user 110 wearing the XR device 140 and moving around the3D space 101. Based on observing the user 110, the system 120 can inferboundaries of the 3D space. In some instances the system 120 can analyzecamera images outside the current boundaries of the 3D space and observenon-users of the XR device 140. Based on observing the non-users aroundthe current boundaries of the 3D space, the system 120 can infer newboundaries of the 3D space.

The system 120 stores the data indicating boundaries of the 3D space 101mapped to the field of view of the camera 111. The system 120 canactively monitor the 3D space 101 using video analytics andcommunication with the XR device 140.

The system 120 can keep track of the number of people in the 3D space101, and thus whether or not the 3D space is empty or in use. In someexamples, the system 120 can detect when a first person such as the user110 enters the 3D space 101. The system 120 can also detect when theuser 110 dons and doffs the XR device 140.

When the user 110 is wearing the XR device 140, the system 120 candetermine that the user 110 has obstructed vision. In some examples, thesystem 120 performs monitoring of the 3D space 101 only when the user110 is wearing the XR device 140. In some examples, the system 120performs monitoring of the 3D space 101 any time a person is detectedwithin the 3D space 101.

In stage (B), the system 120 obtains sensor data 122. The sensor data122 can include, for example, camera image data, motion sensor data,geofence data, GPS data, and/or other types of sensor data. For example,the sensor data can include camera image data generated by the camera111 that is external from the XR device 140.

The sensor data 122 can include camera image data showing a person 130approaching the 3D space 101. The sensor data 122 can also includemotion sensor data, microphone data, and/or other data indicating thatthe person 130 is approaching the 3D space 101. The sensor data 122 canalso include geofence data indicating that a mobile device 115associated with the person 130 has entered within a geofence of theproperty 102 where the 3D space 101 is located.

In some examples, the system 120 can store a model of the property 102and/or portions of the property 102. The model can include dataindicating a position of sensors and devices at the property 102.Information of the property layout and of the positions of sensors canenable the system to provide advance warning of a potential 3D spaceencroachment. For example, a door position sensor or door lock sensorcan detect a door opening or unlocking. Based on the door positionsensor or door lock sensor, the system 120 can determine that a door tothe property 102 has been unlocked and/or opened and that a person islikely approaching the 3D space 101. For example, in stage (B) thesystem 120 may obtain sensor data that includes sensor data from thedoor position sensor, where the sensor data indicates a particular doorwas opened, where the door leads to a hallway that has no other exitthan the room that includes the 3D space 101. Based on determining thatthe particular door was opened, the system 120 can determine that aperson is likely approaching the 3D space 101. Based on determining thatthe person is likely approaching the 3D space 101, the system can alertthe user 110 and/or approaching person that an XR experience is inprogress and that interference is likely to occur.

In some examples, when the system detects that an XR experience is inprogress in the 3D space 101, the system can change monitoring systemsettings of the property 102 where the 3D space 101 is located. Forexample, the system can change a security setting by arming themonitoring system when the XR experience begins. In some examples, thesystem 120 can cause the monitoring system to enter an XR experience“scene” when an XR experience is in progress. In the XR experiencescene, the system 120 can arm the monitoring system and/or lock doors tothe property 102. In some examples, the system can mute superfluousnotifications or divert notifications that would ordinarily go to theuser 110. For example, the system can divert a notification from amobile device of the user to the XR device 140. In some examples, thesystem can reroute notifications to other occupants of the property 102that would normally be provided to the user 110.

At stage (C), the system 120 predicts 3D space interference. Forexample, the system 120 can analyze the sensor data to determine thatthe person 130 is approaching the 3D space 101 and is about to interferewith the 3D space 101. In some examples, the system 120 can predictinterference based on the person 130 approaching within a thresholddistance to a boundary of the 3D space 101. The system 120 can alsopredict interference based on the layout of the property 102 asindicated by the stored model. For example, the stored model mayindicate that the 3D space 101 is located in a room between a front doorof the property 102 and other rooms of the property 102, such that theonly path between the front door and the other rooms passes through the3D space 101. Thus, the system 120 can determine, based on the frontdoor opening and shutting, that the person 130 is likely to interferewith the 3D space 101.

In some examples, the system 120 can detecting when a bystander such asthe person 130 is trying to get the attention of the user 110 wearingthe headset. For example, the system 120 can determine, based onanalyzing the sensor data 122, that the person 130 is waving towards theuser 110, attempting to talk to the user 110, or lingering in or nearthe 3D space 101 for an extended period of time. The system 120 candetermine that the person is attempting to talk to the user 110 based onsensor data including, for example, camera image data indicating thatthe person 130 is looking towards the user 110, camera image dataindicating that the person's mouth is moving, microphone data indicatingthat the person 130 is speaking, or any combination of these.

The system 120 can also predict 3D space interference by objects otherthan a person. For example, the system 120 can predict interference byan inanimate object such as a robotic cleaning device. In anotherexample, the system 120 can predict interference by an animal. Thesystem 120 can predict interference by objects similarly to predictinginterference by a person, e.g., by determining that the object is withina threshold distance to a boundary of the 3D space 101 or bydetermining, based on the property layout and the current location ofthe object, that the object is likely to pass through the 3D space 101.

In some examples, the system 120 can predict 3D space interference by anobject based on tracking paths of the object. For example, a roboticcleaning device may be programmed to travel a designated route aroundthe property. The system 120 can track movement of the robotic cleaningdevice over time in order to learn the designated route. In anotherexample, the system 120 can store data indicating capabilities andlimitations of the robotic cleaning device. For example, the system 120can store data indicating that the robotic cleaning device is notcapable of operating on carpeted floors, is not capable of ascending anddescending steps, and can only make turns that have an angle of lessthan ninety degrees. Based on the capabilities and limitations of therobotic cleaning device, the system 120 can predict the route of therobotic cleaning device.

In some examples, the system 120 can control operations of the cleaningdevice, or can be in communication with a different computing systemthat controls operations of the robotic cleaning device by sendinginstructions to the robotic cleaning device. The system 120 candetermine, based on instructions sent to the robotic cleaning device,whether the robotic cleaning device is likely to interfere with the 3Dspace 101. In some examples, the system 120 can communicate with therobotic cleaning device, e.g., through a network. The robotic cleaningdevice can transmit, to the system 120, data indicating the plannedroute of the robotic cleaning device.

In some examples, the system 120 may detect that a person, object, oranimal is in or near the 3D space 101 when the user 110 first dons theXR device 140. Based on the user 110 donning the XR device 140, thesystem 120 can perform an action to mitigate or prevent interference bythe person, object, or animal. For example, system 120 can transmit anotification to the XR device 140 that the person, object, or animal isin the 3D space 101. This can enable the user 110 to take an action toremove the person, object, or animal from the 3D space 101 beforebeginning an XR experience.

In some examples, the system 120 can take an action to assist withremoving the person, object, or animal from the 3D space 101 in responseto the user 110 donning the XR device 140. For example, the system 120can broadcast an audible alert through a speaker, or can illuminate alight, that indicates that the 3D space 101 is in use. In some examples,the system 120 can transmit a command to an autonomous orremote-controlled object that causes the object to depart from the 3Dspace 101. For example, a robotic cleaning device may be located in the3D space 101. The system 120 can transmit a command to the roboticcleaning device that causes the robotic cleaning device to depart fromthe 3D space 101.

The system 120 can also detect when the user 110 doffs the XR device 140and/or departs from the 3D space 101. Based on sensor data indicatingthat the user 110 has removed the XR device 140, the system 120 candetermine that the XR experience is paused or has ended. Based ondetermining that the XR experience is paused or has ended, the system120 can cancel warnings and notifications that are preventinginterference of the 3D space 101. In some examples, based on determiningthat the XR experience is paused or has ended, the system 120 can notifyother residents of the property 102 that the 3D space 101 is no longerin use.

In some examples, the system 120 can distinguish between a paused XRexperience and a completed XR experience, e.g., based on an amount oftime that the user 110 is not wearing the XR device 140. For example, athreshold amount of time for a pause may be two minutes. When the user110 removes the XR device 140, the system 120 can determine that the XRexperience is paused. Based on the user 110 keeping the XR device 140off for greater than the threshold amount of time of two minutes, thesystem 120 can determine that the XR experience has ended.

In stage (D), the system 120 provides a notification 114 to a userdevice, e.g., mobile device 115. For example, based on determining thatthe person 130 is approaching the 3D space 101, the system 120 cantransmit the notification 114 to the mobile device 115 associated withthe person 130. The notification 114 can include, for example, a textmessage that says “Warning: approaching XR 3D space.” In some examples,the notification 114 can include an audible of visual alert, e.g., analert sound or flashing light.

In some examples, the system can store profiles of residents of theproperty 102. The profiles can include, for example, facial images ofresidents of the property 102. The system 120 can use the stored facialimages to perform facial recognition of people at the property 102. Insome examples, the profiles can include data identifying one or moredevices associated with each resident of the property 102. For example,the system 120 can store data identifying the mobile device 115associated with the person 130. Thus, when the system 120 determinesthat the facially recognized person 130 is approaching the 3D space 101,the system 120 can send the notification to the mobile device 115indicated by the stored data as associated with the person 130.

In some examples, instead of or in addition to sending the notification114 to the mobile device 115, the system 120 can send a notification tothe XR device 140. For example, the system 120 can send a notificationto the XR device 140 that causes the XR device 140 to display a messageto the user 110. The message can say, for example, “person approaching3D space.” In some examples, the system 120 can determine that theperson 130 is attempting to get the attention of the user 110, and thenotification displayed by the XR device 140 can indicate to the user 110that the person 130 is attempting to get the user's attention. Forexample, the XR device 140 can display a message that says “your brotheris trying to get your attention.” In some examples, the XR device 140can display an image or video of the person 130 captured by the camera111.

In some examples, the XR device can represent the person 130 in the XRenvironment. For example, based on determining that the person 130 isattempting to get the user's attention, the system 120 can generate asurrogate or avatar in the XR experience that represents the person 130.Microphones at the property 102 can detect audio, e.g., speech spoken bythe person 130. The microphones can provide the audio to the XR device140 through the system 120. The XR device 140 can then play the audiofor the user 110 through speakers of the XR device 140. In this way, theXR device 140 can permit the user 110 to communicate with the person 130through the XR device 140. In some examples, the XR device 140 canrepresent the avatar in a way that visually indicates to the user 110that the avatar represents a real-world object. For example, the XRdevice 140 can present the avatar as transparent or blinking, toindicate that the avatar represents a real world person.

In some examples, instead of or in addition to sending the notificationto the mobile device 115, the system 120 can communicate with the user110 and/or the person 130 using other means. For example, the system 120can communicate by activating an audible notification, alert, or alarm.The system 120 can cause the notification to be broadcast through aspeaker near the 3D space 101. For example, the system 120 may identifythe speaker closest to the person 130 that may be used for broadcastinga notification, and then transmit audio of synthesized speech of thenotification to the speaker. In some examples, the system 120 cancommunicate by activating a visual notification, alert, or alarm. Thevisual notification can include, for example, a flashing light, amessage shown on display panel, or another visual notification.

In some examples, the system 120 can cause an illumination of the 3Dspace 101. For example, the system 120 can activate a light to projectonto the floor. The light can illuminate an outline of the 3D space 101and/or the area of the 3D space 101. In some examples, the system 120can activate laser light that illuminates the outline of the 3D space101 and/or of virtual objects within the 3D space. The illuminatedoutline of the 3D space 101 can serve as a visual aid tonon-participants of the XR experience in avoiding the 3D space 101.

In some examples, the system 120 may determine that the XR experienceshould be paused due to the detected or predicted interference. Forexample, the system 120 may determine that the person 130 is attemptingto get the attention of the user 110 and that the person 130 is a child.The system 120 can determine to pause the XR experience so that the user110 can address the child. The system 120 can therefore send aninstruction to the XR device 140 that pauses the XR device.

In some examples, the system 120 can determine one or more actions toperform based on settings and preferences input by the user 110. Forexample, the user 110 can input a preference that the XR experienceshould be interrupted when a child is attempting to get the attention ofthe user 110, but should not be interrupted when an adult is attemptingto get the attention of the user 110.

In some examples, the system 120 may determine that the person 130 is inor near the 3D space 101 when the user 110 dons the XR device 140. Thesystem 120 may send the notification 114 to the person 130 indicatingthat the 3D space 101 is going to be in use and that the person 130should exit and/or avoid the 3D space 101.

The environment 100 can generate alerts and notifications to the user110 and other persons based on monitored actions and system settings.Notifications can include, for example, alerting the user 110, as theuser 110 enters the 3D space 101 or begins to don the XR device 140,about objects in the 3D space 101.

The system can alert the user 110, after the user 110 dons the XR device140, about approaching animals, people, or new objects in the 3D space101. The system can alert the user 110 of any bystanders attempting toget the attention of the user 110. The system can alert the user 110 ifthe user 110 nears an edge of the 3D space 101 or departs the 3D space101. The system can also alert bystanders if the user 110 departs the 3Dspace 101 while wearing the XR device 140.

The system can alert bystanders if they approach or enter the 3D space101 while the user 110 is wearing the XR device 140. The system canalert the user 110 or bystanders if they have left an object in the 3Dspace 101 as they are exiting the 3D space 101.

The system can alert people at the property 102 when the user 110 entersthe 3D space 101 and/or dons the XR device 140. The system can alsoalert people at the property 102 when the XR session is complete.

Alerts to the user 110 can be made through audio, haptic alerts, and/orvia an API that allows alerting or in-game notification within the XRdevice 140. This could include passing the location and/or a 3D model ofany person, animal, or obstacle that is inside or outside of the 3Dspace 101 to the XR device 140 so that they might render the obstacle ora surrogate object to the user within the XR space. This could include a“ghost” version of the person, animal, or object. The system mightrender an unexpected object in the scene in a different style or colorto call attention to the object as real-world physical object as opposedto a virtual object. In addition, moving and stationary real-worldobjects might be rendered differently from each other.

Alerts to the person 130 can include audio alerts, a status display, ora projected 3D space indication on the floor, walls, and/or ceiling ofthe property 102. In some cases, this could include alerts to a mobiledevice. Audio alerts might include a prerecorded or automaticallygenerated description of the extent of the 3D space 101, videonotifications on a status display, mobile device, or an AR interfacethat shows a diagram or marked up imagery.

A projection onto the surfaces of the room or an AR interface can alsoshow the bystander select cues from the user's XR session, such asobstacles and goals. The link between calibrated cameras and the XR 3Dspace could be used to inform the XR device 140 about other aspects ofthe 3D space 101 and its surroundings. Examples include hazards inferredfrom imagery or 3D reconstruction that might warrant shrinking the 3Dspace out of caution such as a nearby staircase or window, and/or anoverhanging lamp or furniture.

FIG. 2 is a flow diagram of a process for monitoring XR 3D spaces. Theprocess 200 can be performed by one or more computing devices, forexample, the system 120 or the XR device 140.

The process 200 includes obtaining data defining a 3D space for XR at aproperty (202). For example, the system 120 obtains, from the XR device140, data defining a 3D space 101.

The process 200 includes obtaining sensor data generated by one or moresensors at the property (204). For example, the system 120 obtainssensor data 122 from sensors including, for example, the camera 111.

The process 200 includes, based on the sensor data, predicting that aperson will interfere with the 3D space (206). For example, the system120 can predict, based on the sensor data 122, that the person 130 willinterfere with the 3D space 101.

The process 200 includes, based on predicting that the person willinterfere with the 3D space, providing a notification (208). Forexample, based on predicting that the person 130 will interfere with the3D space 101, the system 120 can provide the notification 114 to themobile device 115.

FIG. 3 is a diagram illustrating an example of a environment 300 fordynamic XR 3D space management. The environment 300 includes a system320 and an XR device 340. The system 320 runs an XR application 306. XRenvironments generated by the XR application 306 are provided to the XRdevice 340 for presentation to a user 310. In some examples, the XRdevice 340 runs the XR application 306 instead of the system 320.

In some examples, the XR device 340 can include a wearable computingsystem that performs the functions of the system 320. For example, thecomputing system can be integrated with the headset. In some examples,the XR device 340 includes a headset and a separate wearable computingsystem that performs the functions of the system 320. For example, theXR device 340 can include a wearable computing system that is integratedwith a backpack, vest, harness, and/or another garment or accessory. TheXR device 340 can also include one or more controllers and/or trackersthat are worn by or carried by the user 310.

The defined 3D space 301 can be any space in which a user 310 uses an XRdevice 340. For example, the defined 3D space 301 can be a room of abuilding or an outdoor area. The defined 3D space 301 can be a mostlyempty space where the user 310 can freely move about without trippingover hazards or bumping into objects in the real world.

Components of the environment 300 can communicate through a network. Thenetwork may be any communication infrastructure that supports theelectronic exchange of data between the device sand the sensors. Thenetwork may include a local area network (LAN), a wide area network(WAN), the Internet, or other network topology. To supportcommunications through the network, the components, e.g., the XR device340, the system 320, and the motorized structure, may includecommunications modules, such as a modem, transceiver, modulator, orother hardware or software configured to enable the device tocommunicate electronic data through the network.

The system 320 may be located within or outside of the property 303. Thesystem 320 is in communication with the XR device 340. The system 320may be, for instance, one or more computer systems, server systems, orother computing devices. In some examples, the system 320 may be a cloudcomputing platform.

The system 320 can store a model of the property 303. The model can be,for example, a 3D model indicating locations of features of the property303 include walls, doors, furniture, etc. For example, the system 320can store data indicating features of the property 303 that may serve asboundaries of the 3D space. Boundaries of the 3D space can be physicalboundaries, e.g., walls, or can be virtual boundaries input by the user310. For example, the user 310 may input a boundary corresponding to thelocation of the sofa 322, indicating that the 3D space should not extendinto the living room 332 past the location of the sofa 322.

The system 320 can run an augmented reality or virtual realityapplication such as a game. The system 320 can generate an XRenvironment for presentation to the user 310 as an XR image displayedthrough the XR device 340. The XR image can be displayed on a widevariety of displays, or directly into the user's eyes, usually throughglasses or a headset. Other XR devices include smartphones and tablets.The user 310 can hold these types of devices in their hands and view thedisplay of the smartphone or tablet.

FIG. 3 illustrates a flow of events, shown as stages (A) to (D), witheach representing a step in an example process. Stages (A) to (D) mayoccur in the illustrated sequence, or in a sequence that is differentfrom the illustrated sequence. For example, some of the stages may occurconcurrently.

In stage (A), the system 320 provides a defined 3D space 301 to the XRdevice 340. The system 320 can provide a defined 3D space 301 based onavailability of spaces at the property 303, based on requirements of theXR application 306, or both.

The system 320 can provide the defined 3D space 301 based at least inpart on the predicted availability of spaces at the property 303. Forexample, the system 320 can store data indicating routines of residentsof the property 303. For example, the system 320 can store dataindicating that the resident 336 typically departs for work on weekdaysat 8:00am and returns from work on weekdays at 6:00pm.

In some examples, the system 320 can track activities and/or locationsof residents of the property 303 in order to predict availability ofspaces at the property 303. For example, the system 320 can track thelocation of the resident 336 based on geofence data indicating whether amobile device 315 associated with the resident 336 is inside or outsideof a geofence of the property 303. In another example, the system 320can determine that the person 305 is in the living room 332 based oncamera image data received from the camera 311.

In some examples, the system 320 can store data indicating probabilitiesthat spaces of the property 303 will be occupied at various times. Thesystem 320 can determine the probabilities of occupancy for the spacesbased on analyzing sensor data over time. For example, the system 320may determine that on Saturday mornings, there is a thirty percentchance that the living room 332 will be unoccupied and will therefore beavailable for use as an XR 3D space. The system 320 may also determinethat on Saturday mornings, there is an eighty percent chance that theoffice 334 will be unoccupied and will therefore be available for use asan XR 3D space.

In some examples, the system 320 can determine, for each space or areaof the property 303, a current occupation status of the space, apredicted occupation status of the space, and an expected time ofavailability of the space. For example, the system 320 can determine,for the living room 332, that the living room 332 is currently occupiedby the person 305, that the person 305 is likely to depart the livingroom 332 at 7:00pm, and a likelihood of sixty percent that the livingroom will be available for use as an XR 3D space from 7:00pm to 9:00pm.The system 320 can also determine a status of appliances, e.g., anon/off status for a television 312, and a status of accesses, e.g., anopen/shut status for doors at the property 303. The system 320 candefine a 3D space based on the status of appliances and of accesses. Forexample, the system 320 might define a 3D space that does not includethe office 334 when doors to the office are shut. In another example,the system 320 might define a 3D space that does not include the livingroom 332 when the television 312 is on.

In some examples, the system 320 can select areas of the property forinclusion in a 3D space based on monitoring system scenes. For example,a monitoring system may of the property 303 may have a “sleep” scene setin the bedroom 335. The system 320 can determine to exclude the bedroom335 from the 3D space based on the “sleep” scene being set. In someexamples, the system 320 can select areas of the property for inclusionin a 3D space based on security settings of a monitoring system. Forexample, the monitoring system may be set to “armed, stay,” “unarmed,stay,” or “armed, away.” The system 320 can determine to include thefoyer 331 in the 3D space based on the security system being “armed,stay.”

In an example scenario, the system 320 may determine that there is aseventy percent chance that the foyer 331 will be available for use asan XR 3D space on weekday afternoons. The system 320 can store criteriaindicating a threshold availability likelihood required for reserving aspace. The threshold availability likelihood for reserving a 3D spacemay be, for example, a minimum threshold of sixty percent. Based on theseventy percent chance that the foyer 331 is available exceeding theminimum threshold of sixty percent, the system 320 can determine toreserve the foyer 331 on weekday afternoons. The system 320 cantherefore generate, for use on a weekday afternoon, the defined 3D space301 including the foyer 331.

In another example scenario, the system 320 may determine that there isa forty percent chance that the foyer 331 will be available for use asan XR 3D space on Sunday mornings. Based on the forty percent chancethat the foyer 331 is available being less than the minimum threshold ofsixty percent, the system 320 can determine not to reserve the foyer 331on Sunday mornings.

In some examples, the system 320 can select areas of the property forinclusion in a 3D space based on a relative likelihood of availability.For example, the system 320 can select areas of the property 102 thathave a lesser likelihood of occupancy and/or a greater likelihood ofavailability compared to other areas of the property. As an example, ona Saturday evening, the server may determine that the kitchen 333 has athirty percent chance of availability, the living room 332 has a twentypercent chance of availability, the office 334 has a forty percentchance of availability, and the bedroom 335 has a forty-five percentchance of availability. In an example where the XR experience requiresan amount of space of two rooms, the system 320 can select the office334 and the bedroom 335 for inclusion in the 3D space based on theoffice 334 and the bedroom 335 having higher likelihoods of availabilitycompared to the other rooms of the property 102. In an example where theXR experience only requires an amount of space of one room, the system320 can select the bedroom 335 for inclusion in the 3D space based onthe bedroom 335 having the highest likelihood of availability comparedto the other rooms of the property 102.

In some examples, the defined 3D space can include time-varyingboundaries. For example, the defined 3D space 301 can include the foyer331 between 5:00pm and 6:00pm, when the foyer 331 is expected to beunoccupied. The defined 3D space 301 can be changed to not include thefoyer 331 after 6:00pm, when the resident 336 is expected to returnhome.

The XR device 340 receives the defined 3D space 301 from the system 320.The defined 3D space includes the foyer 331 and the kitchen 333. The XRdevice 340 generates an XR environment based on the defined 3D space301. In some examples, the XR device 340 and/or the XR application 306can adapt an XR narrative based on the defined 3D space 301. Forexample, a second phase of a narrative may require a greater amount ofspace than a first phase of the narrative. The XR application 306 candelay entering the second phase of the narrative until a larger space isavailable at the property 303 for use in the XR 3D space.

In some examples, the system 320 can communicate the defined 3D space301 to a monitoring system of the property 303 in order to reserve thedefined 3D space 301. The monitoring system can be managed by the system320 or by a different server.

In an example, the system 320 communicates a request to reserve thedefined 3D space 301 including the foyer 331 and the kitchen 333 from4:00pm to 5:00pm. In response to receiving the request to reserve thedefined 3D space 301, the monitoring system can approve the request,deny the request, or approve the request with modifications. In someexamples, the monitoring system can approve the request and send anotification to other residents of the property 303 indicating that thedefined 3D space 301 has been reserved from 4:00pm to 5:00pm. In someexamples, the monitoring system can deny the request, e.g., based ondetermining that the resident 336 is likely to return to the property at4:30pm. In some examples, the monitoring system can approve the requestwith modifications. For example, based on determining that the resident336 is likely to return to the property at 4:30pm, the monitoring systemcan approve the request to reserve the defined 3D space 301 only from4:00pm to 4:30pm.

In stage (B), the system 320 obtains sensor data. The sensor data caninclude any of the sensor data 122 described with reference to FIG. 1 .The sensor data can include, for example, camera image data captured bythe camera 311. The camera image data can include images of the resident336 arriving at the property 303. In some examples, the sensor data caninclude data indicating a location of the resident 336. For example, thesensor data can include GPS data indicating a location of the mobiledevice 317 and/or a location of a vehicle associated with the resident336.

In stage (C), the system 320 predicts 3D space interference. Forexample, the system 320 can analyze the sensor data and determine, basedon the sensor data, that the resident 336 is arriving at the property303. The system 320 may determine that the resident 336 is likely toenter the foyer 331 and therefore is likely to interfere with thedefined 3D space 301.

In some examples, the sensor data can indicate that the 3D space 301 hasbeen interfered with. For example, the sensor data can include door openand shut data indicating that the door 314 has opened and shut, and thatthe resident 336 is likely in the foyer 331. In another example, motionsensor data and/or camera image data can indicate that the resident 336has entered the foyer 331.

In some examples, the system 320 can update predicted and/or detectedoccupancy of areas of the property 303 based on the sensor data. Forexample, the system 320 can determine, based on historical dataindicating routines of the resident 336, that when the resident 336returns home, there is a sixty percent probability that the resident 336will walk through the foyer 331 to the kitchen 333, a thirty percentprobability that the resident 336 will walk through the foyer 331 to theliving room 332, and a ten percent probability that the resident 336will enter the foyer 331 and sit on the sofa 316. The system 320 cantherefore update the predicted occupancy of the foyer 331, e.g., to onehundred percent, and update the predicted occupancy of the kitchen 333,e.g., to sixty percent, based on determining that the resident 336 isreturning home and based on the historical data.

The system 320 can use the predicted occupancies to predict a likelihoodof 3D space interruption and to determine, based on the likelihood of 3Dspace interruption, whether to redefine the 3D space. For example, thesystem 320 may determine a percentage likelihood of interruption, andcompare the determined likelihood of interruption to a thresholdlikelihood of interruption. The threshold likelihood of interruption canbe, for example, a maximum threshold likelihood of fifty-five percent.Based on the likelihood of interruption exceeding the maximum thresholdlikelihood of fifty-five percent, the system 320 can determine toredefine the 3D space. Based on the likelihood of interruption beingless than the maximum threshold likelihood of fifty-five percent, thesystem 320 can determine not to redefine the 3D space.

In stage (D), the system 320 provides a redefined 3D space 302 to the XRdevice 340. The redefined 3D space 302 includes the office 334 and thebedroom 335, and excludes the foyer 331 and the kitchen 333.

The XR application 306 can adjust the XR environment narrative based onthe redefined 3D space 302. The XR application 306 can re-evaluate themapping of the XR environment to the redefined 3D space 302, and guidethe user 310 to the redefined 3D space 302. In the example of FIG. 3 ,the XR application 306 adjusts the narrative of the XR experience toguide the user 310 from the kitchen 333 to the office 334. In this way,the XR application 306 adjusts the XR environment in a way that causesthe user 310 to avoid the unavailable areas that are occupied orpredicted to be occupied by the resident 336.

In some examples, the XR application 306 can adjust the XR environmentto delay the user 310 and cause the user 310 to remain in their currentlocation during 3D space interference. For example, the user 310 may belocated near the sofa 316 in the foyer 331 when the resident 336 entersthe foyer 331. The XR application 306 can adjust the XR environment tokeep the user 310 near the sofa 316 while the resident 336 passesthrough the foyer 331. For example, the XR application 306 can present atask to the user 310 for the user 310 to perform in the foyer 331. Inanother example, the XR application 306 can present an environment tothe user 310 that appears to change locations without the user 310needing to physically move to a new location. In some examples, the XRapplication 306 can pause the XR experience while the resident 336passes through the foyer 331. The XR application 306 can then resume theXR experience when the resident 336 enters the kitchen 333, and guidethe user 310 to the redefined 3D space 302.

In some cases, the XR application 306 can pause the XR experience whilethe user 310 transits to the redefined 3D space 302. In some examples,the XR application 306 can model real-world features in the XRexperience. For example, the user 310 may need to open a door to passthrough a doorway 313 in order to enter the office 334. The XRapplication 306 can render the doorway 313 in the XR experience,allowing the user 310 to open the door, both inside the XR experienceand in the physical property 303.

In some cases, the XR application 306 can adapt the XR environment tofit to the physical space available at the property 303. For example,the XR application 306 can fit a graph of an XR experience to a graph ofthe redefined 3D space 302. In some examples, the XR application 306 cangradually shift the location or orientation of the user 310 within theXR environment to better fit the physical space available at theproperty 303. For example, the user 310 might be walking down a straighthallway in the real world, but in the XR environment, the hallway mightbe curved. The augmentation of the XR environment can aid the user 310in avoiding real-world obstacles while not interfering with the XRenvironment experience.

FIG. 4 is a flow diagram of a process 400 for dynamic XR 3D spacemanagement. The process 400 will be described as being performed by oneor more computing devices, for example, the system 320 or the XR device340.

The process 400 includes obtaining data defining an available 3D spacefor XR at a property (402). For example, the system 320 can obtain, fromthe XR device 340, data defining areas of the property 303 that areavailable for use as a 3D space. The available areas of the property 303can include sections of a foyer 331, living room 332, kitchen 333,office 334, and bedroom 335.

The process 400 includes selecting, from the available 3D space, a firstportion of the available 3D space for representing an XR environment(404). For example, the system 320 can select, from the available 3Dspaces a defined 3D space 301.

The process 400 includes providing the XR reality environmentrepresented by the first portion of the available 3D space forpresentation by a user device (406). For example, the system 320 canprovide the XR environment represented by the defined 3D space 301 forpresentation by the XR device 340 to the user 310.

The process 400 includes, based on sensor data generated from one ormore sensors at the property 303, predicting that the first portion ofthe available 3D space will be interfered with (408). For example, basedon sensor data generated from the camera 311, the system 320 can predictthat the defined 3D space 301 will be interfered with by the resident336 arriving at the property 303. The system 320 can determine aprobability, or likelihood, that the 3D space 301 will be interferedwith and can compare the probability of disruption to a thresholdprobability, e.g., a threshold probability of fifty percent. Based onthe probability of disruption exceeding the threshold probability, thesystem 320 can predict that the defined 3D space 301 will be interferedwith.

The process 400 includes, based on predicting that the selected portionof the available 3D space will be interfered with, selecting, from theavailable 3D space, a second portion of the available 3D space forrepresenting the XR environment (410). For example, based on predictingthat the defined 3D space 301 will be interfered with, the system 320can select, from the available 3D space at the property 303, a redefined3D space 302.

The process 400 includes providing the XR environment represented by thesecond portion of the available 3D space for presentation by the userdevice (412). For example, the system 320 can provide the XR environmentrepresented by the redefined 3D space 302 for presentation by the XRdevice 340.

FIG. 5 is a diagram illustrating an example of a environment 500 forcoordination of multiple XR 3D spaces. The environment 500 includes asystem 520. The server maintains and deconflicts 3D space reservationsfrom multiple users. The system 520 manages 3D spaces in an arena 505.The arena 505 can be, for example, a dedicated room for XR 3D spaces. Insome examples, the arena is a property that is occupied by multipleusers of XR devices. The system 520 allocates 3D spaces in the arena toeach of the multiple users.

In the example of FIG. 5 , a first user 510 uses a first XR device 540and a second user 511 uses a second XR device 541 in the arena 505. Thefirst XR device 540 sends a first 3D space request 530 to the system520. The first 3D space request 530 includes a request to reserve arequested first 3D space 501. The second XR device 541 sends a second 3Dspace request 531 to the system 520. The second 3D space request 531includes a request to reserve a requested second 3D space 502.

Each 3D space request can include data defining boundaries of therequested 3D space. For example, the 3D space request can include a 2Darea and/or a 3D volume of space requested for use in a 3D space. Each3D space request can also include a predicted time that the area isexpected to be in use by the user.

In some examples, the XR device 540 can run an XR application thatgenerates the first 3D space request 530 based on a planned XRenvironment to be presented to the first user 510. The XR applicationcan estimate an amount of time that the user needs to complete a task ina currently reserved area, and an amount of time the user will need in anext area. The XR device 540 can generate the first 3D space request 530based on the estimated time for the tasks.

As an example, the first user 510 may currently be performing a taskthat requires the first user 510 to be stationary, and may therefore beusing a small area of the arena 505. The XR application may predict thatthe first user 510 will complete the current task at 12:10pm. The XRapplication may determine that the user's next task requires a largerspace, e.g., the requested first 3D space 501, and that the next taskwill take approximately fifteen minutes to complete. Thus, the XR device540 can submit the first 3D space request 530 to request the requestedfirst 3D space 501 from 12:10pm to 12:25pm.

The XR device 540 can send updated requests as the user's predictedactions change. For example, the first user 510 may take longer tocomplete the current task than expected, and may complete the currenttask at 12:15pm. The XR device 540 can therefore send an updated first3D space request that requests the requested first 3D space 501 from12:15pm to 12:30pm.

The 3D space request tracker 506 receives the first 3D space request 530and the second 3D space request 531. The 3D space request tracker 506can monitor for conflicts between requested 3D spaces. When two or moreXR devices request use of a same area of the arena 505, the 3D spacerequest tracker 506 detects a detected conflict 507. For example, therequested first 3D space 501 and the requested second 3D space 502overlap in time and space. The 3D space request tracker 506 can detectthe overlap between the requested 3D spaces and output data indicatingthe detected conflict 507. The indication of the detected conflict 507can include an area or volume of the arena 505 where the conflict isoccurring, a time of the conflict, and an identification of the XRdevices that requested the conflicting 3D spaces.

When the 3D space request tracker 506 does not detect a conflict between3D space requests, the 3D space request tracker 506 can output data tothe 3D space allocator 512 indicating that no conflict has beendetected. The 3D space allocator 512 can then allocate the 3D spacesaccording to the 3D space requests.

When a conflict is detected, the deconfliction engine 508 performsdeconfliction of the detected conflict 507. The deconfliction engine 508can deconflict the conflict, e.g., by determining a priority of the 3Dspace requests. The deconfliction engine 508 can determine the priorityof the 3D space requests at least in part on prioritization data 515.

The prioritization data 515 can include data indicating priorities ofdifferent users, XR devices, and/or XR applications. In some examples,the prioritization data 515 can include data indicating priorities ofdifferent XR applications. For example, a first XR application may behighly physically interactive, and require that the user be able to movethrough a large space. In contrast, a second XR application may lessphysically interactive, and a user may be able to experience the secondXR application in a smaller space. Therefore, the first XR applicationmay be assigned a higher priority than the second XR application basedon the relative space requirements of the first XR application and thesecond XR application.

In another example, a first XR application may require use of a specificfeature of the arena, e.g., a staircase. In a second XR application, thestaircase may be an optional feature. Thus, the prioritization data 515can include data specifying that the first XR application has a higherpriority than the second XR application when the overlapping regionincludes the staircase.

In another example, a first XR application may have less timeflexibility than a second XR application. For example, the first XRapplication may require the user to perform actions in a time limit,and/or might not have options for delaying activities within the XRexperience. The second XR application may have no time limit, or a lessrestrictive time limit compared to the first XR experience. The secondXR application may also have options for delaying activities, e.g., bypresenting the user with extra tasks that cause the user to remain inplace. Thus, the first XR application may be assigned a higher prioritythan the second XR application based on the stricter time requirementsof the first XR application compared to the second XR application.

In some examples, the prioritization data 515 can change over time basedon the XR experiences. In some examples, user priority may be determinedbased on respective times of arrival at the arena 505 and/or startingtimes of the XR experiences. For example, the first user 510 may arriveat the arena at 11:30 and the second user 511 may arrive at the arena at11:40. The first user 510 can therefore be assigned a higher prioritythan the second user 511. When the first user 510 departs the arena 505,the second user 511 can move up to a higher priority.

In some examples, the prioritization data 515 can change based onlimitations of the current 3D space assignments. For example, a first XRapplication may require a small amount of space during a first timeperiod, and a larger amount of space during a second time period. Thefirst XR application may therefore be assigned a lower priority duringthe first time period, and a higher priority during the second timeperiod.

In another example, the first XR application may be assigned a smallcorner area 3D space during the first time period, where the 3D space isconfined by other users' 3D spaces. The system 520 may determine thatthe user of the first XR application needs to cross the 3D space of asecond XR application in order to transit from the corner area to alarger 3D space for use during the second time period. The system 520can therefore temporarily assign the first XR application a higherpriority than the second XR application during the time when the user istransiting from the corner area 3D space to the larger 3D space. Byassigning the temporary higher priority, the user of the first XRapplication can be permitted to cross the 3D space of the second XRapplication, e.g., while the user of the second XR application isdelayed or paused within the XR experience.

In some examples, users may pay to use the arena 505 for XR experiences.There may be multiple different tiers of users based on the amount thatthe users pay for the service. For example, the first user 510 may payfor a top tier service, and therefore be assigned a higher priority. Thesecond user 511 may pay less than the first user 510 for a low tierservice, and therefore be assigned a lower priority.

For example, prioritizing based on XR user skill level can occur inwhich a more experienced XR user might be able to be more flexible inworking around space limitations, while a novice XR user might be unableto cope with more constraints and may give up more easily and in theinterest of keeping the novice user immersed, the novice user may getpriority.

In another example, prioritizing based on user age can occur in whichyoung children might have shorter attention spans and/or strongerexpectations of consistency, and may be less able to cope withunexpected delays or changes. Therefore the young children may getpriority.

In another example, an overall shorter expected XR experience can getpriority in which one XR experience is expected to take 5 minutes, whileanother XR experience is expected to run for several hours and the5-minute XR experience might get priority as it will have less overallimpact.

In the example of FIG. 5 , the prioritization data 515 indicates thatthe first user 501 has a high priority, and that the second user 502 hasa low priority. The deconfliction engine 508 evaluates the detectedconflict 507 using the prioritization data 515 and determines toprioritize 509 the first 3D space.

The 3D space allocator 512 allocates space within the arena based on thedeconfliction. The 3D space allocator 512 can adjust one or more 3Dspaces to accommodate other 3D spaces. In the example of FIG. 5 , basedon prioritizing 509 the first 3D space, the 3D space allocator 512approves 522 the first requested 3D space. Thus, the allocated first 3Dspace is the same as the requested first 3D space 501. Based onprioritizing 509 the first 3D space, the 3D space allocator 512 modifiesthe second 3D space. Thus, the allocated second 3D space is a modifiedsecond 3D space 503, which is different from the requested second 3Dspace 502.

The 3D space allocator 512 provides the allocated 3D spaces to the firstXR device 540 and to the second XR device 541. For example, the 3D spaceallocator 512 notifies the first XR device 540 that the first requested3D space is approved 522. The XR device 540 can then present the plannedXR experience to the first user 510.

The 3D space allocator 512 notifies the second XR device 541 that thesecond requested 3D space is modified 524. The XR device 541 thenmodifies the XR experience as needed to present the XR experience to thesecond user 511 while confining the first user 510 to the modifiedsecond 3D space 503.

In an example scenario, a first player participating in an XR experienceis walking down a hallway in a first game. The first player's XR devicehas reserved a long, narrow space for this task. A second player isparticipating in an XR experience that is constrained at the edges ofthe first player's reserved space. The second player's XR experiencerequires passing through the narrow space reserved by the first player.

The second player's XR device submits a request to the system 520 forthe second player to pass through the first player's reserved space. Inresponse to receiving the request from the second player's XR device,the system 520 can determine to approve the request, approve the requestwith conditions, or deny the request. For example, the system 520 candetermine to approve the request and permit the second player to crossthrough the first player's reserved space at the time requested. Inanother example, the system 520 can determine to approve the request butwith a delay, such that the second player is not permitted to cross thefirst player's reserved space until the first player has passed aparticular location within the space. In another example, the system 520can determine to deny the request, causing the second player's XR devicewill adjust the second player's XR experience to avoid interfering withthe first player's reserved space.

In some examples, the system 520 can manage a credit system of multipleusers. For example, each user and/or each XR device can be assigned anumber of credits that can be used to trade space within the arena 505.For example, the first XR device 540 can spend credits to take priorityover the XR device 541. When the first XR device 540 takes priority overthe second XR device 541, the first XR device 540 relinquishes creditsand the second XR device 541 gains credits. The second XR device 541 canuse the gained credits to take priority over the first XR device 540 thenext time that a conflict exists between the first XR device 540 and thesecond XR device 541.

In some examples, the deconfliction engine 508 can prioritize the XRdevices based on the number of credits assigned to each XR device. Forexample, the prioritization data 515 can include the number of creditsassigned to each XR device. When the first XR device 540 has morecredits than the second XR device 541, the deconfliction engine 508 canprioritize the first XR device 540 over the second XR device 541. Whenthe 3D space allocator 512 modifies the second 3D space to accommodatethe first 3D space, the 3D space allocator 512 can provide an updatedprioritization 518 to the database of prioritization data 515. Theupdated prioritization 518 can include removal of credits from the firstXR device 540, and addition of credits to the second XR device 541.

In an example scenario, a first player may have his XR experienceadjusted in order to accommodate a second player. For example, the firstplayer's experience may be paused, or the first player's XR applicationmay relinquish some space to the second player's XR application. Thefirst player receives credit for adjusting to accommodate the secondplayer. The next time there is a conflict between the first player andthe second player, the first player's XR application can use thereceived credits to take priority over the second player. In this way,the system 520 can balance conflicts between multiple XR users using amarket system.

In some implementations, the 3D space allocator 512 can allocate 3Dspaces in a way that causes the least overall impact to the userexperiences. For example, the 3D space allocator 512 can use anoptimization algorithm to optimize space within the arena 505 based onthe constraints of the XR applications running on the XR devices in thearena 505. In some examples, the 3D space allocator 512 can allocate 3Dspaces in a way that impacts the fewest number of users.

In certain circumstances, a cancelled reservation or other 3D spaceconstraints might not actually impact the user experience, depending onthe XR application. For example, a user might not be ready to move to asecond 3D space reservation if they are still completing tasks in afirst 3D space. Postponing their reservation for the second 3D spacewould have no effect on the user's experience. Therefore, the system mayreward XR applications that proactively cancel their own reservationswhen not needed, or penalize XR applications that miss theirreservations, e.g., when the user does not enter the reserved 3D spacewithin an allotted amount of time after the beginning of thereservation.

In some examples, the XR applications can provide, to the system 520,the current user location and projected user movements and locations atvarious times. The system 520 may ask XR applications to relinquishreserved space that does not appear to be used. Requests to reclaimreserved space may be accompanied by offers of rewards such as futurepriority in reservations, making it advantageous for an XR applicationto proactively release unused space.

FIG. 6 is a flow diagram of a process 600 for coordination of multipleXR 3D spaces. The process 600 will be described as being performed byone or more computing devices, for example, the system 520 or the XRdevice 540.

The process 600 includes obtaining, from a first user device, datadefining a first 3D space for XR at a property (602). For example, thesystem 520 can obtain, from the first XR device 540, data defining therequested first 3D space 501 in the arena 505.

The process 600 includes obtaining, from a second user device, datadefining a second 3D space for XR at the property (604). For example,the system 520 can obtain, from the second XR device 541, data definingthe requested second 3D space 502 in the arena 505.

The process 600 includes determining an overlap between the first 3Dspace and the second 3D space (606). For example, the system 520determines an overlap in time and space between the requested first 3Dspace 501 and the requested second 3D space 502.

The process 600 includes determining that the first 3D space has ahigher priority than the second 3D space (608). For example, the system520 determines that the requested first 3D space 501 has a higherpriority than the requested second 3D space 502.

The process 600 includes, based on determining that the first 3D spacehas a higher priority than the second 3D space, updating the second 3Dspace to accommodate the first 3D space (610). For example, based ondetermining that the requested first 3D space 501 has a higher prioritythan the second requested 3D space 502, the system 520 updates therequested second 3D space 502 to accommodate the requested first 3Dspace 501 by generating the modified second 3D space 503.

The process 600 includes providing data defining the updated second 3Dspace to the second user device (612). For example, the system 520provides the approval 522 of the first requested 3D space to the firstXR device 540, and provides the modification 524 of the second requested3D space to the second XR device 541, defining the modified second 3Dspace 503.

FIG. 7 is a diagram illustrating an example of a property monitoringsystem 700. The monitoring system 700 includes a network 705, a controlunit 710, one or more user devices 740 and 750, a monitoring server 760,and a central alarm station server 770. In some examples, the network705 facilitates communications between the control unit 710, the one ormore user devices 740 and 750, the monitoring server 760, and thecentral alarm station server 770.

The network 705 is configured to enable exchange of electroniccommunications between devices connected to the network 705. Forexample, the network 705 may be configured to enable exchange ofelectronic communications between the control unit 710, the one or moreuser devices 740 and 750, the monitoring server 760, and the centralalarm station server 770. The network 705 may include, for example, oneor more of the Internet, Wide Area Networks (WANs), Local Area Networks(LANs), analog or digital wired and wireless telephone networks (e.g., apublic switched telephone network (PSTN), Integrated Services DigitalNetwork (ISDN), a cellular network, and Digital Subscriber Line (DSL)),radio, television, cable, satellite, or any other delivery or tunnelingmechanism for carrying data. Network 705 may include multiple networksor subnetworks, each of which may include, for example, a wired orwireless data pathway. The network 705 may include a circuit-switchednetwork, a packet-switched data network, or any other network able tocarry electronic communications (e.g., data or voice communications).For example, the network 705 may include networks based on the Internetprotocol (IP), asynchronous transfer mode (ATM), the PSTN,packet-switched networks based on IP, X.25, or Frame Relay, or othercomparable technologies and may support voice using, for example, VoIP,or other comparable protocols used for voice communications. The network705 may include one or more networks that include wireless data channelsand wireless voice channels. The network 705 may be a wireless network,a broadband network, or a combination of networks including a wirelessnetwork and a broadband network.

The control unit 710 includes a controller 712 and a network module 714.The controller 712 is configured to control a control unit monitoringsystem (e.g., a control unit system) that includes the control unit 710.In some examples, the controller 712 may include a processor or othercontrol circuitry configured to execute instructions of a program thatcontrols operation of a control unit system. In these examples, thecontroller 712 may be configured to receive input from sensors, flowmeters, or other devices included in the control unit system and controloperations of devices included in the household (e.g., speakers, lights,doors, etc.). For example, the controller 712 may be configured tocontrol operation of the network module 714 included in the control unit710.

The network module 714 is a communication device configured to exchangecommunications over the network 705. The network module 714 may be awireless communication module configured to exchange wirelesscommunications over the network 705. For example, the network module 714may be a wireless communication device configured to exchangecommunications over a wireless data channel and a wireless voicechannel. In this example, the network module 714 may transmit alarm dataover a wireless data channel and establish a two-way voice communicationsession over a wireless voice channel. The wireless communication devicemay include one or more of a LTE module, a GSM module, a radio modem,cellular transmission module, or any type of module configured toexchange communications in one of the following formats: LTE, GSM orGPRS, CDMA, EDGE or EGPRS, EV-DO or EVDO, UMTS, or IP.

The network module 714 also may be a wired communication moduleconfigured to exchange communications over the network 705 using a wiredconnection. For instance, the network module 714 may be a modem, anetwork interface card, or another type of network interface device. Thenetwork module 714 may be an Ethernet network card configured to enablethe control unit 710 to communicate over a local area network and/or theInternet. The network module 714 also may be a voice band modemconfigured to enable the alarm panel to communicate over the telephonelines of Plain Old Telephone Systems (POTS).

The control unit system that includes the control unit 710 includes oneor more sensors. For example, the monitoring system may include multiplesensors 720. The sensors 720 may include a lock sensor, a contactsensor, a motion sensor, or any other type of sensor included in acontrol unit system. The sensors 720 also may include an environmentalsensor, such as a temperature sensor, a water sensor, a rain sensor, awind sensor, a light sensor, a smoke detector, a carbon monoxidedetector, an air quality sensor, etc. The sensors 720 further mayinclude a health monitoring sensor, such as a prescription bottle sensorthat monitors taking of prescriptions, a blood pressure sensor, a bloodsugar sensor, a bed mat configured to sense presence of liquid (e.g.,bodily fluids) on the bed mat, etc. In some examples, thehealth-monitoring sensor can be a wearable sensor that attaches to auser in the home. The health-monitoring sensor can collect varioushealth data, including pulse, heart rate, respiration rate, sugar orglucose level, bodily temperature, or motion data.

The sensors 720 can also include a radio-frequency identification (RFID)sensor that identifies a particular article that includes a pre-assignedRFID tag.

The control unit 710 communicates with the home automation controls 722and a camera 730 to perform monitoring. The home automation controls 722are connected to one or more devices that enable automation of actionsin the home. For instance, the home automation controls 722 may beconnected to one or more lighting systems and may be configured tocontrol operation of the one or more lighting systems. In addition, thehome automation controls 722 may be connected to one or more electroniclocks at the home and may be configured to control operation of the oneor more electronic locks (e.g., control Z-Wave locks using wirelesscommunications in the Z-Wave protocol). Further, the home automationcontrols 722 may be connected to one or more appliances at the home andmay be configured to control operation of the one or more appliances.The home automation controls 722 may include multiple modules that areeach specific to the type of device being controlled in an automatedmanner. The home automation controls 722 may control the one or moredevices based on commands received from the control unit 710. Forinstance, the home automation controls 722 may cause a lighting systemto illuminate an area to provide a better image of the area whencaptured by a camera 730.

The camera 730 may be a video/photographic camera or other type ofoptical sensing device configured to capture images. For instance, thecamera 730 may be configured to capture images of an area within abuilding or home monitored by the control unit 710. The camera 730 maybe configured to capture single, static images of the area and alsovideo images of the area in which multiple images of the area arecaptured at a relatively high frequency (e.g., thirty images persecond). The camera 730 may be controlled based on commands receivedfrom the control unit 710.

The camera 730 may be triggered by several different types oftechniques. For instance, a Passive Infra-Red (PIR) motion sensor may bebuilt into the camera 730 and used to trigger the camera 730 to captureone or more images when motion is detected. The camera 730 also mayinclude a microwave motion sensor built into the camera and used totrigger the camera 730 to capture one or more images when motion isdetected. The camera 730 may have a “normally open” or “normally closed”digital input that can trigger capture of one or more images whenexternal sensors (e.g., the sensors 720, PIR, door/window, etc.) detectmotion or other events. In some implementations, the camera 730 receivesa command to capture an image when external devices detect motion oranother potential alarm event. The camera 730 may receive the commandfrom the controller 712 or directly from one of the sensors 720.

In some examples, the camera 730 triggers integrated or externalilluminators (e.g., Infra-Red, Z-wave controlled “white” lights, lightscontrolled by the home automation controls 722, etc.) to improve imagequality when the scene is dark. An integrated or separate light sensormay be used to determine if illumination is desired and may result inincreased image quality.

The camera 730 may be programmed with any combination of time/dayschedules, system “arming state”, or other variables to determinewhether images should be captured or not when triggers occur. The camera730 may enter a low-power mode when not capturing images. In this case,the camera 730 may wake periodically to check for inbound messages fromthe controller 712. The camera 730 may be powered by internal,replaceable batteries if located remotely from the control unit 710. Thecamera 730 may employ a small solar cell to recharge the battery whenlight is available. Alternatively, the camera 730 may be powered by thecontroller's 712 power supply if the camera 730 is co-located with thecontroller 712.

In some implementations, the camera 730 communicates directly with themonitoring server 760 over the Internet. In these implementations, imagedata captured by the camera 730 does not pass through the control unit710 and the camera 730 receives commands related to operation from themonitoring server 760.

The system 700 also includes thermostat 734 to perform dynamicenvironmental control at the home. The thermostat 734 is configured tomonitor temperature and/or energy consumption of an HVAC systemassociated with the thermostat 734, and is further configured to providecontrol of environmental (e.g., temperature) settings. In someimplementations, the thermostat 734 can additionally or alternativelyreceive data relating to activity at a home and/or environmental data ata home, e.g., at various locations indoors and outdoors at the home. Thethermostat 734 can directly measure energy consumption of the HVACsystem associated with the thermostat, or can estimate energyconsumption of the HVAC system associated with the thermostat 734, forexample, based on detected usage of one or more components of the HVACsystem associated with the thermostat 734. The thermostat 734 cancommunicate temperature and/or energy monitoring information to or fromthe control unit 710 and can control the environmental (e.g.,temperature) settings based on commands received from the control unit710.

In some implementations, the thermostat 734 is a dynamicallyprogrammable thermostat and can be integrated with the control unit 710.For example, the dynamically programmable thermostat 734 can include thecontrol unit 710, e.g., as an internal component to the dynamicallyprogrammable thermostat 734. In addition, the control unit 710 can be agateway device that communicates with the dynamically programmablethermostat 734. In some implementations, the thermostat 734 iscontrolled via one or more home automation controls 722.

A module 737 is connected to one or more components of an HVAC systemassociated with a home, and is configured to control operation of theone or more components of the HVAC system. In some implementations, themodule 737 is also configured to monitor energy consumption of the HVACsystem components, for example, by directly measuring the energyconsumption of the HVAC system components or by estimating the energyusage of the one or more HVAC system components based on detecting usageof components of the HVAC system. The module 737 can communicate energymonitoring information and the state of the HVAC system components tothe thermostat 734 and can control the one or more components of theHVAC system based on commands received from the thermostat 734.

In some examples, the system 700 further includes one or more roboticdevices 790. The robotic devices 790 may be any type of robots that arecapable of moving and taking actions that assist in home monitoring. Forexample, the robotic devices 790 may include drones that are capable ofmoving throughout a home based on automated control technology and/oruser input control provided by a user. In this example, the drones maybe able to fly, roll, walk, or otherwise move about the home. The dronesmay include helicopter type devices (e.g., quad copters), rollinghelicopter type devices (e.g., roller copter devices that can fly androll along the ground, walls, or ceiling) and land vehicle type devices(e.g., automated cars that drive around a home). In some cases, therobotic devices 790 may be devices that are intended for other purposesand merely associated with the system 700 for use in appropriatecircumstances. For instance, a robotic vacuum cleaner device may beassociated with the monitoring system 700 as one of the robotic devices790 and may be controlled to take action responsive to monitoring systemevents.

In some examples, the robotic devices 790 automatically navigate withina home. In these examples, the robotic devices 790 include sensors andcontrol processors that guide movement of the robotic devices 790 withinthe home. For instance, the robotic devices 790 may navigate within thehome using one or more cameras, one or more proximity sensors, one ormore gyroscopes, one or more accelerometers, one or more magnetometers,a global positioning system (GPS) unit, an altimeter, one or more sonaror laser sensors, and/or any other types of sensors that aid innavigation about a space. The robotic devices 790 may include controlprocessors that process output from the various sensors and control therobotic devices 790 to move along a path that reaches the desireddestination and avoids obstacles. In this regard, the control processorsdetect walls or other obstacles in the home and guide movement of therobotic devices 790 in a manner that avoids the walls and otherobstacles.

In addition, the robotic devices 790 may store data that describesattributes of the home. For instance, the robotic devices 790 may storea floorplan and/or a three-dimensional model of the home that enablesthe robotic devices 790 to navigate the home. During initialconfiguration, the robotic devices 790 may receive the data describingattributes of the home, determine a frame of reference to the data(e.g., a home or reference location in the home), and navigate the homebased on the frame of reference and the data describing attributes ofthe home. Further, initial configuration of the robotic devices 790 alsomay include learning of one or more navigation patterns in which a userprovides input to control the robotic devices 790 to perform a specificnavigation action (e.g., fly to an upstairs bedroom and spin aroundwhile capturing video and then return to a home charging base). In thisregard, the robotic devices 790 may learn and store the navigationpatterns such that the robotic devices 790 may automatically repeat thespecific navigation actions upon a later request.

In some examples, the robotic devices 790 may include data capture andrecording devices. In these examples, the robotic devices 790 mayinclude one or more cameras, one or more motion sensors, one or moremicrophones, one or more biometric data collection tools, one or moretemperature sensors, one or more humidity sensors, one or more air flowsensors, and/or any other types of sensors that may be useful incapturing monitoring data related to the home and users in the home. Theone or more biometric data collection tools may be configured to collectbiometric samples of a person in the home with or without contact of theperson. For instance, the biometric data collection tools may include afingerprint scanner, a hair sample collection tool, a skin cellcollection tool, and/or any other tool that allows the robotic devices790 to take and store a biometric sample that can be used to identifythe person (e.g., a biometric sample with DNA that can be used for DNAtesting).

In some implementations, the robotic devices 790 may include outputdevices. In these implementations, the robotic devices 790 may includeone or more displays, one or more speakers, and/or any type of outputdevices that allow the robotic devices 790 to communicate information toa nearby user.

The robotic devices 790 also may include a communication module thatenables the robotic devices 790 to communicate with the control unit710, each other, and/or other devices. The communication module may be awireless communication module that allows the robotic devices 790 tocommunicate wirelessly. For instance, the communication module may be aWi-Fi module that enables the robotic devices 790 to communicate over alocal wireless network at the home. The communication module further maybe a 900 MHz wireless communication module that enables the roboticdevices 790 to communicate directly with the control unit 710. Othertypes of short-range wireless communication protocols, such asBluetooth, Bluetooth LE, Z-wave, Zigbee, etc., may be used to allow therobotic devices 790 to communicate with other devices in the home. Insome implementations, the robotic devices 790 may communicate with eachother or with other devices of the system 700 through the network 705.

The robotic devices 790 further may include processor and storagecapabilities. The robotic devices 790 may include any suitableprocessing devices that enable the robotic devices 790 to operateapplications and perform the actions described throughout thisdisclosure. In addition, the robotic devices 790 may include solid-stateelectronic storage that enables the robotic devices 790 to storeapplications, configuration data, collected sensor data, and/or anyother type of information available to the robotic devices 790.

The robotic devices 790 are associated with one or more chargingstations. The charging stations may be located at predefined home baseor reference locations in the home. The robotic devices 790 may beconfigured to navigate to the charging stations after completion oftasks needed to be performed for the monitoring system 700. Forinstance, after completion of a monitoring operation or upon instructionby the control unit 710, the robotic devices 790 may be configured toautomatically fly to and land on one of the charging stations. In thisregard, the robotic devices 790 may automatically maintain a fullycharged battery in a state in which the robotic devices 790 are readyfor use by the monitoring system 700.

The charging stations may be contact based charging stations and/orwireless charging stations. For contact based charging stations, therobotic devices 790 may have readily accessible points of contact thatthe robotic devices 790 are capable of positioning and mating with acorresponding contact on the charging station. For instance, ahelicopter type robotic device may have an electronic contact on aportion of its landing gear that rests on and mates with an electronicpad of a charging station when the helicopter type robotic device landson the charging station. The electronic contact on the robotic devicemay include a cover that opens to expose the electronic contact when therobotic device is charging and closes to cover and insulate theelectronic contact when the robotic device is in operation.

For wireless charging stations, the robotic devices 790 may chargethrough a wireless exchange of power. In these cases, the roboticdevices 790 need only locate themselves closely enough to the wirelesscharging stations for the wireless exchange of power to occur. In thisregard, the positioning needed to land at a predefined home base orreference location in the home may be less precise than with a contactbased charging station. Based on the robotic devices 790 landing at awireless charging station, the wireless charging station outputs awireless signal that the robotic devices 790 receive and convert to apower signal that charges a battery maintained on the robotic devices790.

In some implementations, each of the robotic devices 790 has acorresponding and assigned charging station such that the number ofrobotic devices 790 equals the number of charging stations. In theseimplementations, the robotic devices 790 always navigate to the specificcharging station assigned to that robotic device. For instance, a firstrobotic device may always use a first charging station and a secondrobotic device may always use a second charging station.

In some examples, the robotic devices 790 may share charging stations.For instance, the robotic devices 790 may use one or more communitycharging stations that are capable of charging multiple robotic devices790. The community charging station may be configured to charge multiplerobotic devices 790 in parallel. The community charging station may beconfigured to charge multiple robotic devices 790 in serial such thatthe multiple robotic devices 790 take turns charging and, when fullycharged, return to a predefined home base or reference location in thehome that is not associated with a charger. The number of communitycharging stations may be less than the number of robotic devices 790.

In addition, the charging stations may not be assigned to specificrobotic devices 790 and may be capable of charging any of the roboticdevices 790. In this regard, the robotic devices 790 may use anysuitable, unoccupied charging station when not in use. For instance,when one of the robotic devices 790 has completed an operation or is inneed of battery charge, the control unit 710 references a stored tableof the occupancy status of each charging station and instructs therobotic device to navigate to the nearest charging station that isunoccupied.

The system 700 further includes one or more integrated security devices780. The one or more integrated security devices may include any type ofdevice used to provide alerts based on received sensor data. Forinstance, the one or more control units 710 may provide one or morealerts to the one or more integrated security input/output devices 780.Additionally, the one or more control units 710 may receive one or moresensor data from the sensors 720 and determine whether to provide analert to the one or more integrated security input/output devices 780.

The sensors 720, the home automation controls 722, the camera 730, thethermostat 734, and the integrated security devices 780 may communicatewith the controller 712 over communication links 724, 726, 728, 732,738, and 784. The communication links 724, 726, 728, 732, 738, and 784may be a wired or wireless data pathway configured to transmit signalsfrom the sensors 720, the home automation controls 722, the camera 730,the thermostat 734, and the integrated security devices 780 to thecontroller 712. The sensors 720, the home automation controls 722, thecamera 730, the thermostat 734, and the integrated security devices 780may continuously transmit sensed values to the controller 712,periodically transmit sensed values to the controller 712, or transmitsensed values to the controller 712 in response to a change in a sensedvalue.

The communication links 724, 726, 728, 732, 738, and 784 may include alocal network. The sensors 720, the home automation controls 722, thecamera 730, the thermostat 734, and the integrated security devices 780,and the controller 712 may exchange data and commands over the localnetwork. The local network may include 802.11 “Wi-Fi” wireless Ethernet(e.g., using low-power Wi-Fi chipsets), Z-Wave, Zigbee, Bluetooth,“Homeplug” or other “Powerline” networks that operate over AC wiring,and a Category 5 (CAT5) or Category 6 (CAT6) wired Ethernet network. Thelocal network may be a mesh network constructed based on the devicesconnected to the mesh network.

The monitoring server 760 is an electronic device configured to providemonitoring services by exchanging electronic communications with thecontrol unit 710, the one or more user devices 740 and 750, and thecentral alarm station server 770 over the network 705. For example, themonitoring server 760 may be configured to monitor events generated bythe control unit 710. In this example, the monitoring server 760 mayexchange electronic communications with the network module 714 includedin the control unit 710 to receive information regarding events detectedby the control unit 710. The monitoring server 760 also may receiveinformation regarding events from the one or more user devices 740 and750.

In some examples, the monitoring server 760 may route alert datareceived from the network module 714 or the one or more user devices 740and 750 to the central alarm station server 770. For example, themonitoring server 760 may transmit the alert data to the central alarmstation server 770 over the network 705.

The monitoring server 760 may store sensor and image data received fromthe monitoring system and perform analysis of sensor and image datareceived from the monitoring system. Based on the analysis, themonitoring server 760 may communicate with and control aspects of thecontrol unit 710 or the one or more user devices 740 and 750.

The monitoring server 760 may provide various monitoring services to thesystem 700. For example, the monitoring server 760 may analyze thesensor, image, and other data to determine an activity pattern of aresident of the home monitored by the system 700. In someimplementations, the monitoring server 760 may analyze the data foralarm conditions or may determine and perform actions at the home byissuing commands to one or more of the controls 722, possibly throughthe control unit 710.

The monitoring server 760 can be configured to provide information(e.g., activity patterns) related to one or more residents of the homemonitored by the system 700 (e.g., user 108). For example, one or moreof the sensors 720, the home automation controls 722, the camera 730,the thermostat 734, and the integrated security devices 780 can collectdata related to a resident including location information (e.g., if theresident is home or is not home) and provide location information to thethermostat 734.

The central alarm station server 770 is an electronic device configuredto provide alarm monitoring service by exchanging communications withthe control unit 710, the one or more user devices 740 and 750, and themonitoring server 760 over the network 705. For example, the centralalarm station server 770 may be configured to monitor alerting eventsgenerated by the control unit 710. In this example, the central alarmstation server 770 may exchange communications with the network module714 included in the control unit 710 to receive information regardingalerting events detected by the control unit 710. The central alarmstation server 770 also may receive information regarding alertingevents from the one or more user devices 740 and 750 and/or themonitoring server 760.

The central alarm station server 770 is connected to multiple terminals772 and 774. The terminals 772 and 774 may be used by operators toprocess alerting events. For example, the central alarm station server770 may route alerting data to the terminals 772 and 774 to enable anoperator to process the alerting data. The terminals 772 and 774 mayinclude general-purpose computers (e.g., desktop personal computers,workstations, or laptop computers) that are configured to receivealerting data from a server in the central alarm station server 770 andrender a display of information based on the alerting data. Forinstance, the controller 712 may control the network module 714 totransmit, to the central alarm station server 770, alerting dataindicating that a sensor 720 detected motion from a motion sensor viathe sensors 720. The central alarm station server 770 may receive thealerting data and route the alerting data to the terminal 772 forprocessing by an operator associated with the terminal 772. The terminal772 may render a display to the operator that includes informationassociated with the alerting event (e.g., the lock sensor data, themotion sensor data, the contact sensor data, etc.) and the operator mayhandle the alerting event based on the displayed information.

In some implementations, the terminals 772 and 774 may be mobile devicesor devices designed for a specific function. Although FIG. 7 illustratestwo terminals for brevity, actual implementations may include more (and,perhaps, many more) terminals.

The one or more authorized user devices 740 and 750 are devices thathost and display user interfaces. For instance, the user device 740 is amobile device that hosts or runs one or more native applications (e.g.,the home monitoring application 742). The user device 740 may be acellular phone or a non-cellular locally networked device with adisplay. The user device 740 may include a cell phone, a smart phone, atablet PC, a personal digital assistant (“PDA”), or any other portabledevice configured to communicate over a network and display information.For example, implementations may also include Blackberry-type devices(e.g., as provided by Research in Motion), electronic organizers,iPhone-type devices (e.g., as provided by Apple), iPod devices (e.g., asprovided by Apple) or other portable music players, other communicationdevices, and handheld or portable electronic devices for gaming,communications, and/or data organization. The user device 740 mayperform functions unrelated to the monitoring system, such as placingpersonal telephone calls, playing music, playing video, displayingpictures, browsing the Internet, maintaining an electronic calendar,etc.

The user device 740 includes a home monitoring application 752. The homemonitoring application 742 refers to a software/firmware program runningon the corresponding mobile device that enables the user interface andfeatures described throughout. The user device 740 may load or installthe home monitoring application 742 based on data received over anetwork or data received from local media. The home monitoringapplication 742 runs on mobile devices platforms, such as iPhone, iPodtouch, Blackberry, Google Android, Windows Mobile, etc. The homemonitoring application 742 enables the user device 740 to receive andprocess image and sensor data from the monitoring system.

The user device 740 may be a general-purpose computer (e.g., a desktoppersonal computer, a workstation, or a laptop computer) that isconfigured to communicate with the monitoring server 760 and/or thecontrol unit 710 over the network 705. The user device 740 may beconfigured to display a smart home user interface 752 that is generatedby the user device 740 or generated by the monitoring server 760. Forexample, the user device 740 may be configured to display a userinterface (e.g., a web page) provided by the monitoring server 760 thatenables a user to perceive images captured by the camera 730 and/orreports related to the monitoring system. Although FIG. 7 illustratestwo user devices for brevity, actual implementations may include more(and, perhaps, many more) or fewer user devices.

In some implementations, the one or more user devices 740 and 750communicate with and receive monitoring system data from the controlunit 710 using the communication link 738. For instance, the one or moreuser devices 740 and 750 may communicate with the control unit 710 usingvarious local wireless protocols such as Wi-Fi, Bluetooth, Z-wave,Zigbee, HomePlug (ethernet over power line), or wired protocols such asEthernet and USB, to connect the one or more user devices 740 and 750 tolocal security and automation equipment. The one or more user devices740 and 750 may connect locally to the monitoring system and its sensorsand other devices. The local connection may improve the speed of statusand control communications because communicating through the network 705with a remote server (e.g., the monitoring server 760) may besignificantly slower.

Although the one or more user devices 740 and 750 are shown ascommunicating with the control unit 710, the one or more user devices740 and 750 may communicate directly with the sensors and other devicescontrolled by the control unit 710. In some implementations, the one ormore user devices 740 and 750 replace the control unit 710 and performthe functions of the control unit 710 for local monitoring and longrange/offsite communication.

In other implementations, the one or more user devices 740 and 750receive monitoring system data captured by the control unit 710 throughthe network 705. The one or more user devices 740, 750 may receive thedata from the control unit 710 through the network 705 or the monitoringserver 760 may relay data received from the control unit 710 to the oneor more user devices 740 and 750 through the network 705. In thisregard, the monitoring server 760 may facilitate communication betweenthe one or more user devices 740 and 750 and the monitoring system.

In some implementations, the one or more user devices 740 and 750 may beconfigured to switch whether the one or more user devices 740 and 750communicate with the control unit 710 directly (e.g., through link 738)or through the monitoring server 760 (e.g., through network 705) basedon a location of the one or more user devices 740 and 750. For instance,when the one or more user devices 740 and 750 are located close to thecontrol unit 710 and in range to communicate directly with the controlunit 710, the one or more user devices 740 and 750 use directcommunication. When the one or more user devices 740 and 750 are locatedfar from the control unit 710 and not in range to communicate directlywith the control unit 710, the one or more user devices 740 and 750 usecommunication through the monitoring server 760.

Although the one or more user devices 740 and 750 are shown as beingconnected to the network 705, in some implementations, the one or moreuser devices 740 and 750 are not connected to the network 705. In theseimplementations, the one or more user devices 740 and 750 communicatedirectly with one or more of the monitoring system components and nonetwork (e.g., Internet) connection or reliance on remote servers isneeded.

In some implementations, the one or more user devices 740 and 750 areused in conjunction with only local sensors and/or local devices in ahouse. In these implementations, the system 700 includes the one or moreuser devices 740 and 750, the sensors 720, the home automation controls722, the camera 730, and the robotic devices 790. The one or more userdevices 740 and 750 receive data directly from the sensors 720, the homeautomation controls 722, the camera 730, and the robotic devices 790,and sends data directly to the sensors 720, the home automation controls722, the camera 730, and the robotic devices 790. The one or more userdevices 740, 750 provide the appropriate interfaces/processing toprovide visual surveillance and reporting.

In other implementations, the system 700 further includes network 705and the sensors 720, the home automation controls 722, the camera 730,the thermostat 734, and the robotic devices 790, and are configured tocommunicate sensor and image data to the one or more user devices 740and 750 over network 705 (e.g., the Internet, cellular network, etc.).In yet another implementation, the sensors 720, the home automationcontrols 722, the camera 730, the thermostat 734, and the roboticdevices 790 (or a component, such as a bridge/router) are intelligentenough to change the communication pathway from a direct local pathwaywhen the one or more user devices 740 and 750 are in close physicalproximity to the sensors 720, the home automation controls 722, thecamera 730, the thermostat 734, and the robotic devices 790 to a pathwayover network 705 when the one or more user devices 740 and 750 arefarther from the sensors 720, the home automation controls 722, thecamera 730, the thermostat 734, and the robotic devices 790.

In some examples, the system leverages GPS information from the one ormore user devices 740 and 750 to determine whether the one or more userdevices 740 and 750 are close enough to the sensors 720, the homeautomation controls 722, the camera 730, the thermostat 734, and therobotic devices 790 to use the direct local pathway or whether the oneor more user devices 740 and 750 are far enough from the sensors 720,the home automation controls 722, the camera 730, the thermostat 734,and the robotic devices 790 that the pathway over network 705 isrequired.

In other examples, the system leverages status communications (e.g.,pinging) between the one or more user devices 740 and 750 and thesensors 720, the home automation controls 722, the camera 730, thethermostat 734, and the robotic devices 790 to determine whethercommunication using the direct local pathway is possible. Ifcommunication using the direct local pathway is possible, the one ormore user devices 740 and 750 communicate with the sensors 720, the homeautomation controls 722, the camera 730, the thermostat 734, and therobotic devices 790 using the direct local pathway. If communicationusing the direct local pathway is not possible, the one or more userdevices 740 and 750 communicate with the sensors 720, the homeautomation controls 722, the camera 730, the thermostat 734, and therobotic devices 790 using the pathway over network 705.

In some implementations, the system 700 provides end users with accessto images captured by the camera 730 to aid in decision making. Thesystem 700 may transmit the images captured by the camera 730 over awireless WAN network to the user devices 740 and 750. Becausetransmission over a wireless WAN network may be relatively expensive,the system 700 can use several techniques to reduce costs whileproviding access to significant levels of useful visual information(e.g., compressing data, down-sampling data, sending data only overinexpensive LAN connections, or other techniques).

In some implementations, a state of the monitoring system and otherevents sensed by the monitoring system may be used to enable/disablevideo/image recording devices (e.g., the camera 730). In theseimplementations, the camera 730 may be set to capture images on aperiodic basis when the alarm system is armed in an “away” state, butset not to capture images when the alarm system is armed in a “home”state or disarmed. In addition, the camera 730 may be triggered to begincapturing images when the alarm system detects an event, such as analarm event, a door-opening event for a door that leads to an areawithin a field of view of the camera 730, or motion in the area withinthe field of view of the camera 730. In other implementations, thecamera 730 may capture images continuously, but the captured images maybe stored or transmitted over a network when needed.

The described systems, methods, and techniques may be implemented indigital electronic circuitry, computer hardware, firmware, software, orin combinations of these elements. Apparatus implementing thesetechniques may include appropriate input and output devices, a computerprocessor, and a computer program product tangibly embodied in amachine-readable storage device for execution by a programmableprocessor. A process implementing these techniques may be performed by aprogrammable processor executing a program of instructions to performdesired functions by operating on input data and generating appropriateoutput. The techniques may be implemented in one or more computerprograms that are executable on a programmable system including at leastone programmable processor coupled to receive data and instructionsfrom, and to transmit data and instructions to, a data storage system,at least one input device, and at least one output device.

Each computer program may be implemented in a high-level procedural orobject-oriented programming language, or in assembly or machine languageif desired; and in any case, the language may be a compiled orinterpreted language. Suitable processors include, by way of example,both general and special purpose microprocessors. Generally, a processorwill receive instructions and data from a read-only memory and/or arandom access memory. Storage devices suitable for tangibly embodyingcomputer program instructions and data include all forms of non-volatilememory, including by way of example semiconductor memory devices, suchas Erasable Programmable Read-Only Memory (EPROM), Electrically ErasableProgrammable Read-Only Memory (EEPROM), and flash memory devices;magnetic disks such as internal hard disks and removable disks;magneto-optical disks; and Compact Disc Read-Only Memory (CD-ROM). Anyof the foregoing may be supplemented by, or incorporated in, speciallydesigned ASICs (application-specific integrated circuits).

It will be understood that various modifications may be made. Forexample, other useful implementations could be achieved if steps of thedisclosed techniques were performed in a different order and/or ifcomponents in the disclosed systems were combined in a different mannerand/or replaced or supplemented by other components. Accordingly, otherimplementations are within the scope of the disclosure.

1. A computer-implemented method comprising: determining, for a firstextended reality environment generated by a first device, first datadefining a first three-dimensional space at a property for the firstextended reality environment; determining, for a second extended realityenvironment generated by a second device, second data defining a secondthree-dimensional space at the property for the second extended realityenvironment; determining whether the first three-dimensional space atleast partially overlaps with the second three-dimensional space; inresponse to determining that the first three-dimensional space at leastpartially overlaps with the second three-dimensional space, determiningthat the first three-dimensional space has a higher priority than thesecond three-dimensional space; and in response to determining that thefirst three-dimensional space has the higher priority than the secondthree-dimensional space, providing, to the second device, a command tocause the second device to adjust an experience for the second extendedreality environment.
 2. The method of claim 1, wherein providing thecommand comprises providing the command to cause the second device topause the second extended reality environment.
 3. The method of claim 1,wherein providing the command comprises providing the command to causethe second device to delay presentation of at least some content for thesecond extended reality environment.
 4. The method of claim 1, whereinproviding the command comprises: in response to determining that thefirst three-dimensional space has the higher priority than the secondthree-dimensional space, determining a third three-dimensional space atthe property for the second extended reality environment that does notoverlap with the first three-dimensional space, providing the command tocause the second device to present the second extended realityenvironment using the third three-dimensional space instead of thesecond three-dimensional space.
 5. The method of claim 4, whereinproviding the command comprises providing, to the second device, thecommand that causes the second device to transition, over a time period,from a presentation of the second extended reality environment using thesecond three-dimensional space to the presentation of the secondextended reality environment using the third three-dimensional space. 6.The method of claim 1, wherein: determining the first data defining thefirst three-dimensional space at the property for the first extendedreality environment comprises detecting a change in a three-dimensionalspace for the first extended reality environment from a fourththree-dimensional space at the property to the first three-dimensionalspace; and determining whether the first three-dimensional space atleast partially overlaps with the second three-dimensional space isresponsive to detecting the change in a three-dimensional space for thefirst extended reality environment from a fourth three-dimensional spaceat the property to the first three-dimensional space.
 7. The method ofclaim 1, wherein determining that the first three-dimensional space hasthe higher priority than the second three-dimensional space uses atleast one of a priority for a user of one of the devices, a priority forone of the devices, or a priority for an application generating one ofthe extended reality environments.
 8. The method of claim 1, whereindetermining that the first three-dimensional space has the higherpriority than the second three-dimensional space uses a duration of anactivity for the first extended reality environment.
 9. The method ofclaim 1, wherein determining that the first three-dimensional space hasthe higher priority than the second three-dimensional space comprises:determining one or more first features for the first extended realityenvironment; determining one or more second features for the secondextended reality environment; determining that a first physical objectin the first three-dimensional space satisfies a similarity thresholdfor at least one of the one or more first features; determining that asecond physical object in the second three-dimensional space does notsatisfy the similarity threshold for any of the one or more secondfeatures; and in response to determining that the first physical objectin the first three-dimensional space satisfies the similarity thresholdfor at least one of the one or more first features and determining thatthe second physical object in the second three-dimensional space doesnot satisfy the similarity threshold for any of the one or more secondfeatures, determining that the first three-dimensional space has thehigher priority than the second three-dimensional space.
 10. A systemcomprising one or more computers and one or more storage devices onwhich are stored instructions that are operable, when executed by theone or more computers, to cause the one or more computers to performoperations comprising: determining, for a first extended realityenvironment generated by a first device, first data defining a firstthree-dimensional space at a property for the first extended realityenvironment; determining, for a second extended reality environmentgenerated by a second device, second data defining a secondthree-dimensional space at the property for the second extended realityenvironment; determining whether the first three-dimensional space atleast partially overlaps with the second three-dimensional space; inresponse to determining that the first three-dimensional space at leastpartially overlaps with the second three-dimensional space, determiningthat the first three-dimensional space has a higher priority than thesecond three-dimensional space; and in response to determining that thefirst three-dimensional space has the higher priority than the secondthree-dimensional space, providing, to the second device, a command tocause the second device to adjust an experience for the second extendedreality environment.
 11. The system of claim 10, wherein providing thecommand comprises providing the command to cause the second device topause the second extended reality environment.
 12. The system of claim10, wherein providing the command comprises providing the command tocause the second device to delay presentation of at least some contentfor the second extended reality environment.
 13. The system of claim 10,wherein providing the command comprises: in response to determining thatthe first three-dimensional space has the higher priority than thesecond three-dimensional space, determining a third three-dimensionalspace at the property for the second extended reality environment thatdoes not overlap with the first three-dimensional space, providing thecommand to cause the second device to present the second extendedreality environment using the third three-dimensional space instead ofthe second three-dimensional space.
 14. The system of claim 13, whereinproviding the command comprises providing, to the second device, thecommand that causes the second device to transition, over a time period,from a presentation of the second extended reality environment using thesecond three-dimensional space to the presentation of the secondextended reality environment using the third three-dimensional space.15. The system of claim 10, wherein: determining the first data definingthe first three-dimensional space at the property for the first extendedreality environment comprises detecting a change in a three-dimensionalspace for the first extended reality environment from a fourththree-dimensional space at the property to the first three-dimensionalspace; and determining whether the first three-dimensional space atleast partially overlaps with the second three-dimensional space isresponsive to detecting the change in a three-dimensional space for thefirst extended reality environment from a fourth three-dimensional spaceat the property to the first three-dimensional space.
 16. The system ofclaim 10, wherein determining that the first three-dimensional space hasthe higher priority than the second three-dimensional space uses atleast one of a priority for a user of one of the devices, a priority forone of the devices, or a priority for an application generating one ofthe extended reality environments.
 17. The system of claim 10, whereindetermining that the first three-dimensional space has the higherpriority than the second three-dimensional space uses a duration of anactivity for the first extended reality environment.
 18. The system ofclaim 10, wherein determining that the first three-dimensional space hasthe higher priority than the second three-dimensional space comprises:determining one or more first features for the first extended realityenvironment; determining one or more second features for the secondextended reality environment; determining that a first physical objectin the first three-dimensional space satisfies a similarity thresholdfor at least one of the one or more first features; determining that asecond physical object in the second three-dimensional space does notsatisfy the similarity threshold for any of the one or more secondfeatures; and in response to determining that the first physical objectin the first three-dimensional space satisfies the similarity thresholdfor at least one of the one or more first features and determining thatthe second physical object in the second three-dimensional space doesnot satisfy the similarity threshold for any of the one or more secondfeatures, determining that the first three-dimensional space has thehigher priority than the second three-dimensional space.
 19. Anon-transitory computer storage medium encoded with instructions that,when executed by one or more computers, cause the one or more computersto perform operations comprising: determining, for a first extendedreality environment generated by a first device, first data defining afirst three-dimensional space at a property for the first extendedreality environment; determining, for a second extended realityenvironment generated by a second device, second data defining a secondthree-dimensional space at the property for the second extended realityenvironment; determining whether the first three-dimensional space atleast partially overlaps with the second three-dimensional space; inresponse to determining that the first three-dimensional space at leastpartially overlaps with the second three-dimensional space, determiningthat the first three-dimensional space has a higher priority than thesecond three-dimensional space; and in response to determining that thefirst three-dimensional space has the higher priority than the secondthree-dimensional space, providing, to the second device, a command tocause the second device to adjust an experience for the second extendedreality environment.
 20. The computer storage medium of claim 19,wherein providing the command comprises providing the command to causethe second device to pause the second extended reality environment.